{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 导入工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 导入数据，查看数据信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('day.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      "instant       731 non-null int64\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据探索"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 单数据分布规律"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20203b38>"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#casual\n",
    "fig=plt.figure()\n",
    "sns.distplot(df['casual'],bins=10,kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x200b6c88>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df['registered'],bins=10,kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x202fb748>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df['cnt'],bins=10,kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x202a3e48>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#temp\n",
    "fig=plt.figure()\n",
    "sns.distplot(df['temp'],bins=30,kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000002020F588>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000002042DCC0>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EUzSfFcjMzCpU5l46JwBPAH8m6W3AFuCTNJ8VaIyis/90S/2MOr06y04jvRBr0e/PszmZVadMwp8JnAJ8PCLulPQNJtF8U3T2n25ZWndzp16dZaeRXoi16Ow/ns3JrDpl2vCHgeGIuDN/v47sD0CzWYHMzKxCLSf8iPgZ8JikN+dFC4H7aT4rkJmZVahsO8DHgW9LOgR4hGymn1fQeFYgMzOrUKmEHxF3AwMNFh00K5BNb0UnuFgxf+Sl/pIdK8/qZEhmVscjbc3MEuGEb2aWCCd8M7NETI0Lzc16QH5F2tqaohOAzwNHAR8lG4gI8JmIuKPL4ZlNyAnfrKCI+AmwAEDSDOBx4Dayq9OuioivVhie2YTcpGPWmoXAwxHxb1UHYlaUz/DNWrMYWFPz/lJJFwCbgRURsa9+g6L3j5qO9xsqc6+nXrhXVCNVfUdl6ocTvtkk5QMNzwYuz4uuBr4ERP68Criofrui94+ajvcbqr9X1WT0wr2iGil6/6h2K1M/eu8omvW+9wJ3RcRugNFnAEnXAn9dVWDWPUUHG9aqerCh2/DNJu88appzRm8WmDsX2Nr1iMwK8Bm+2SRIOgL4XeBjNcX/W9ICsiadHXXLzHqGE77ZJETEc8Br6so+UlE4ZpPiJh0zs0Q44ZuZJcIJ38wsEU74ZmaJcMI3M0uEE76ZWSKc8M3MEuGEb2aWCCd8M7NEOOGbmSXCCd/MLBFO+GZmiXDCNzNLROmEL2mGpB9J+uv8/VxJd0raJmltPjuQmZlVrB1n+J8EHqh5/2XgqoiYB+wDlrVhH2ZmVlKphC/pOOAs4E/z9wLeBazLV7kROKfMPszMrD3KToDydeCPgFfn718DPBURo1PMDwNzGm0oaTmwHKCvr6+yGeBHrZg/MuZ93+EHl/WqqRpr1d+5WWpaTviS3gfsiYgtkgZHixusGo22j4jVwGqAgYGBaHUW9nZZWjch8Yr5I6y6d2pMCDZVY91x/mC1wZglpkyWeAdwtqQzgcOAXyM74z9K0sz8LP84YGf5MM3MrKyW2/Aj4vKIOC4i+oHFwPci4nzg+8AH8tWWALeXjtLMzErrxHX4nwY+JWk7WZv+dR3Yh5mZTVJbGn4jYggYyl8/ApzWjs8160WSdgDPAgeAkYgYkHQMsBboB3YAH4qIfVXFaNaIR9qateZ3ImJBRAzk7y8DNubjTzbm7816ihO+WXssIht3Ah5/Yj1qalzLZ9ZbAviupAD+JL/EuC8idgFExC5Jx9ZvVHTsyf79+6fdGIUy40Sm0jiTibTjey1TP5zwzSbvHRGxM0/qGyQ9WGSjomNPhoaGqHpcSrvVj3OZjKk0zmQi7Rh7UqZ+TI+jWKe/ROUym0hE7Myf90i6jewihd2SZudn97OBPZUGadaA2/DNJkHSkZJePfoa+D1gK7CebNwJePyJ9ahpeYZv1kF9wG3ZfQKZCfx5RPydpH8FbpG0DHgU+GCFMZo15IRvNgn5OJO3NSh/EljY/YjMinOTjplZIpzwzcwS4YRvZpYIJ3wzs0Q44ZuZJcIJ38wsEU74ZmaJcMI3M0uEE76ZWSKc8M3MEuGEb2aWCCd8M7NEOOGbmSXCd8s0M+uSViZn2rHyrLbt32f4ZmaJcMI3M0uEE76ZWSJaTviSjpf0fUkPSLpP0ifz8mMkbZC0LX8+un3hmplZq8qc4Y8AKyLiLcDpwCWSTgQuAzZGxDxgY/7ezMwq1nLCj4hdEXFX/vpZ4AFgDrAIuDFf7UbgnLJBmplZeW25LFNSP/B24E6gLyJ2QfZHQdKxTbZZDiwH6OvrY2hoqB2hALBi/kjpz+g7vD2f0w1TNdZ2fudmNrHSCV/Sq4BbgT+IiGckFdouIlYDqwEGBgZicHCwbCgvWdrCta71VswfYdW9U2OYwlSNdcf5g9UGM0mSjgduAl4HvAisjohvSLoC+CjwRL7qZyLijmqiNGuuVJaQ9EqyZP/tiPiLvHi3pNn52f1sYE/ZIM16xGi/1V2SXg1skbQhX3ZVRHy1wtjMJlTmKh0B1wEPRMTXahatB5bkr5cAt7cenlnvGKffymxKKHOG/w7gI8C9ku7Oyz4DrARukbQMeBT4YLkQzXpPXb/VO4BLJV0AbCb7L2Bfg20K9Vvt379/2vVvlOljmkp9VJ1QXxfK1I+WE35E/BPQrMF+Yaufa9brGvRbXQ18CYj8eRVwUf12RfuthoaGaGefVi8o0682lfqoOqG+r6tM/fBIW7NJaNRvFRG7I+JARLwIXAucVmWMZs044ZsV1KzfKr84YdS5wNZux2ZWRLr/J5lNXrN+q/MkLSBr0tkBfKya8MzG54RvVtA4/Va+5t6mBDfpmJklwgnfzCwRbtIxs0lpZZo+6w0+wzczS4QTvplZInq+Scf/PpqZtYfP8M3MEuGEb2aWCCd8M7NEOOGbmSWi5zttbfpqpUN+x8qzOhCJWRp8hm9mlggnfDOzRDjhm5klwgnfzCwRTvhmZolwwjczS4QTvplZIpzwzcwS4YRvZpYIj7Q1S5hvP56Wjp3hSzpD0k8kbZd0Waf2Y9YrXOet13Uk4UuaAfwf4L3AicB5kk7sxL7MeoHrvE0FnWrSOQ3YHhGPAEi6GVgE3N+h/ZlVrW11/t7Hn2apm1qsAzqV8OcAj9W8HwZ+s3YFScuB5fnb/ZJ+0qFYWvIJmAX8vOo4ikgpVn153MVvaPVz26CddX7KfJ/dMJXqdyc0qPO1x2NSdb5TCV8NymLMm4jVwOoO7b80SZsjYqDqOIpwrD2hbXV+Gh+jlvh4jFXmeHSq03YYOL7m/XHAzg7ty6wXuM5bz+tUwv9XYJ6kuZIOARYD6zu0L7Ne4DpvPa8jTToRMSLpUuDvgRnA9RFxXyf21UE929zUgGOtWJvr/LQ8RiX4eIzV8vFQREy8lpmZTXm+tYKZWSKc8M3MEpFcwp9o+LukT0m6X9I9kjZKekPNsgOS7s4fHe+QKxDrUklP1MT032qWLZG0LX8s6XSsBeO9qibWhyQ9VbOsq8e2FxQ4XodKWpsvv1NSf/ej7J4y9X26kXS9pD2StjZZLknfzI/VPZJOKfTBEZHMg6wz7WHgBOAQ4MfAiXXr/A5wRP76vwNra5bt77FYlwJ/3GDbY4BH8uej89dHVx1v3fofJ+vY7Pqx7YVHwe/3fwDX5K8X19bF6fYoU9+n4wN4J3AKsLXJ8jOBvyUb/3E6cGeRz03tDP+l4e8R8UtgdPj7SyLi+xHxXP52E9n11FWYMNZxvAfYEBF7I2IfsAE4o0NxjppsvOcBazocUy8rcrwWATfmr9cBCyU1GuA1HZSp79NORPwA2DvOKouAmyKzCThK0uyJPje1hN9o+PuccdZfRvZXdNRhkjZL2iTpnE4EWKNorP8l/5dunaTRgT+T/TnbofA+82ayucD3aoq7eWx7QZHj9dI6ETECPA28pivRdV+Z+p6iln7HU0v4Ew5/f2lF6cPAAPCVmuLXRzak+b8CX5f0H9sf4sshNCirj/WvgP6IeCvwD7x8Nlj452yjyexzMbAuIg7UlHXz2PaCIseriu+xKmXqe4paqhupJfxCw98lvRv4LHB2RLwwWh4RO/PnR4Ah4O1VxhoRT9bEdy1watFtO2Ay+1xMXXNOl49tLyhyvF5aR9JM4NcZ/9/8qaxMfU9Ra7/jVXdOdLkjZCZZB+ZcXu4YOqlunbeTdR7Nqys/Gjg0fz0L2MY4nZJdinV2zetzgU3562OAn+YxH52/PqbqY5uv92ZgB/mgvyqObS88Cn6/lzC20/aWquOu+Hg0rO/T9QH007zT9izGdtr+sMhnJjXFYTQZ/i7pi8DmiFhP1oTzKuA7ef/YoxFxNvAW4E8kvUj2n9HKiOjY/f0LxvoJSWcDI2RnfkvzbfdK+hLZ/V0AvhgRHT0zLBgvZJ21N0dea3NdPba9oODxug74v5K2k32/i6uLuLPK1PfpSNIaYBCYJWkY+ALwSoCIuAa4g+xKne3Ac8CFhT537O+dmZlNV6m14ZuZJcsJ38wsEU74ZmaJcMI3M0uEE76ZWSKc8M3MEuGEb2aWiP8PjE2fcCvj914AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#atemp/hum\n",
    "features=['atemp','hum']\n",
    "df[features].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x204ebf98>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ryU/o8IpKMmEVuTHGb4xZAcwC1ojIkots84gxps4YU1dYGP4aiurSdr11olOPyMORl+EiN93JSZ2fXCWZKV21YozpBV4D1kcljXqH+qYe5hZmkJfhsjpKXBARaooyafAM4g/o6J9KHuFctVIoIjmhx2nArcDRaAdLdoGAof5MD3V6ND4lNUVuvL4AZ3t0+TeVPMI5Ii8FXhWR/cBOgmPkL0Q3lmroHKR3eFzHx6eoujADAU7o8IpKIpNefmiM2Q+snIEsaoIdjcGJslbpHZ1Tku5yUJ6bxsmOQW5dWGx1HKVmhN7ZGaO2NXRR6E5hbkGG1VHiTk1hJmd7hhkd1+XfVHLQIo9Bxhi2NXRx9dx8vbFlGmqKMwkYndZWJY9w7uxUEfLU9jNhbdc54KVjwItNwv8a9baKvHRcdhsnOgZZpGucqiSgR+Qx6PzET9UFmRYniU8Om42qggy9nlwlDS3yGNTQOYg71UF+pl4/Pl01RcFpbbuH9HZ9lfi0yGOMMYbGziGqCjJ0fPwKLChxA3C0rd/iJEpFnxZ5jOkaHGNg1MdcHVa5IgWZKRS6UzjSqkWuEp8WeYw5Pz6ulx1euYUlWTR2DjEyppchqsSmRR5jdHw8chaWugkYON4xYHUUpaJKizyGGGNo9Oj4eKTMzksnw2XX4RWV8LTIY0jn4BgDXh0fjxSbCLUlWRxvH9DZEFVC0yKPIQ2dweuedXw8chaWuhkdD9DUpYsyq8SlRR5DTnYMkpPm1PHxCKopcuOwiQ6vqISmRR4j/AHDKc8gNUWZOj4eQS6HjerCTI609mOMDq+oxKRFHiNaeoYZHQ8wr9htdZSEs7A0i57hcdr6R62OolRUaJHHiBMdgwjBhRFUZC0uy8ImsLe51+ooSkWFFnmMONExSHluGukunZAy0jJSHMwvdrOvuVevXlEJSYs8BoyM+TnbM8y8Ir3sMFpWzM6hf9THtoYuq6MoFXFa5DGgoXOQgAleYaGiY2FpFikOG8/sabE6ilIRp0UeA050DOJy2KjIS7c6SsJy2m0sKc/mtwdade4VlXC0yGPAyY5BqgsysNv0ssNoWjk7h6ExPxsOt1kdRamI0iK3WNegl+6hMWr0ssOoqyzIoCw7lWd1eEUlGC1yi50ILUemJzqjzybC3SvL2XSiE8+A1+o4SkWMFrnFjrUNkJfhIj9Db8ufCfdcNQt/wPDznbqotUocWuQWGvMFOOUZZEGxW2/LnyE1RZlcP7+QH289zZgvYHUcpSJCi9xCDZ2D+AKG2hIdH59JD15bRceAlxf2n7M6ilIRoUVuoWNtA7jsNqp02toZdf28AmqKMnlsc6NOpKUSgha5RYwxHG0boLooE4ddP4aZJCJ8Zl0Vh871s72x2+o4Sl0xbRCLtPd76RsZ12EVi3z4qnJy0508trnR6ihKXTEtcoscbQsudLBArx+3RKrTzv1r5/DKkXaaOnX1IBXfJi1yEZktIq+KyBEROSQiX5qJYInuWNsAZTmpZKU5rY6StD71njm47Db+deMJq6ModUXCOSL3AX9ujFkIXA18QUQWRTdWYhv2+jjTPcyC4iyroyS1oqxUPn1NJc/saeFY24DVcZSatkmL3BjTaozZHXo8ABwByqMdLJEd7xjAgI6Px4CHb6wmM8XBtzYcszqKUtM2pTFyEakEVgLbL/JnD4nILhHZ5fF4IpMuQR1pHSAjxUF5bprVUZJeTrqLP75+Lr873E796R6r4yg1LWEXuYhkAr8E/ocx5l1LkhtjHjHG1Blj6goLCyOZMaH4AgGOtw+wsMSNTe/mjAkPrKuiIDOFb750VK8rV3EprCIXESfBEn/SGPOr6EZKbI2eIby+AAtLdXw8VmSkOPjiLTVsb+zmteP606SKP+FctSLAY8ARY8w/Rz9SYjvc2o/TLtTobIcx5d7VFVQVZPC15w/j9enCEyq+hHNEvg74JHCziOwN/bo9yrkSkjGGI639zCty49S7OWOKy2Hj/961mMbOIR59Q28SUvFl0iXbjTGbAR3MjYCW3hH6R30s0mGVmHTD/ELev6SEf9t4gruWlzFbl95TcUIPC2fQkdZ+BFiglx3GrL+5YxGC8PUXDlsdRamwaZHPoCOtA1QWZJCRMukPQsoiZTlpfPGWeWw43M6rRzusjqNUWLTIZ8iZrmHa+kf1apU48OC1VdQUZfLXzx5kyOuzOo5Sk9IinyHnV27X8fHY53LY+PsPL6Wld4R/2nDc6jhKTUp/xp8hGw63U5KVSp6uzWmpp7aHv1bn2qo8nnizkRSHLewTn/etrZhuNKWmTY/IZ4BnwMvOpm4WlenReDx53+IS3KkOntnTgj+gd3yq2KVFPgNeOdKOMbBYizyupDrt3LW8nLb+Ud44oXd8qtilRT4DXjrYxpz8dEqyUq2OoqZoUVkWS8qy2Hi0A8+A1+o4Sl2UFnmU9Y2Ms+VUJ+sXlyA6SVZcunN5GU67jV/tOUtAJ9VSMUiLPMpePdrBuN/wviUlVkdR0+ROdfKBpaWc7hpmhy7WrGKQFnmUvXyojeKsFFbMyrE6iroCKytymFeUyUuH2ugdHrM6jlLvoEUeRSNjfl475uG9i0qw2XRYJZ6JCB9cUQ4Gnt3bovOWq5iiRR5Fm054GBn3s16HVRJCboaL9y4u5nj7IHvO9FodR6m3aJFH0UsH28hJd7KmKs/qKCpCrp6bz5z8dF44cI7+kXGr4ygFaJFHjdfn55Uj7dy6sFjnHk8gNhHuuWoWPr/h1zrEomKENkyUvHmyk4FRHx9YWmp1FBVhBZkp3LaomCNtA+w722d1HKW0yKPlxQNtuFMdrKspsDqKioJ1NQXMzk3j+X3n6NMhFmUxLfIoGPMF2HCojdsWFeNy6F9xIrKJ8NG62fgDhl/UN+uNQspS2jJRsLWhi/5RH7cv0WGVRJafmcIdy0pp8Azx5slOq+OoJKZFHgUv7m8lM8XBtfN0WCXRrZqTy6LSLDYcbqe1b8TqOCpJaZFH2Lg/wMuH27h1YRGpTrvVcVSUiQgfWllOusvOT3c00z+q4+Vq5mmRR9j2hm56h8d5v16tkjQyUhzcu7qC7iEvX/rpHp27XM04LfIIe/FgK+kuOzfML7Q6ippBVQUZ3Lm8jFePefjmy0etjqOSjC71FkHj/gAvHWzj5lodVklGa6vyyUp18oPXG1hQ7ObDV82yOpJKElrkEbTlVBfdQ2PctbzM6ijKIv/nzkWc7Bjkfz+9H6fdxp36b0HNAB1aiaDn953DnerghgU6rJKsnHYbj3xqFavm5PKln+3hF7uarY6kkoAWeYR4fX5ePtjG+xaXkOLQYZVk5k518qMH1rCupoD//fR+nnizUedkUVGlRR4hrx/zMOD16Y/SCoA0l51H/7CO2xYV87fPH+YLT+2mZ0gXpFDRoUUeIc/vbyUvw8U11flWR1ExIsVh5/ufWMVX1tfyu8PtrP/OJjYd91gdSyWgSYtcRB4XkQ4ROTgTgeLR8JiPVw638/4lJTplrXoHu014+MZqnvn8OtypTj71+A4e/OFOjrUNWB1NJZBwWueHwPoo54hrrxzpYGTcr8Mq6pKWlGfzwp9ey1fW17KjqZv139nEn/33Xs50DVsdTSWASYvcGLMJ0KXDL+P5fecozkphdaWuBKQuLdVp5+Ebq3njyzfx2evm8sL+Vm7+p9f4y1/tp6VX52lR0xexcQAReUhEdonILo8necYBe4bGeO1YB3csK8OuCyyrMOSku/jq7Qt548s3cd/aCp6uP8tN33qNb79yHK/Pb3U8FYcidkOQMeYR4BGAurq6pLnW6vn95xj3G+7Ru/gU8NT2M1PavrYki/9563xeOtTGt185wU+2nebuFeVUF2ZedPv71lZEIqZKMHpm7gr9sv4stSVuFpVlWR1FxamcdBf3rq7g09dUEjDw2OZGNhxu08UqVNi0yK/AyY7gmo0fWaVH4+rKzS9286Vb5lE3J5fXjnl4cttpRsd1qEVNLpzLD38KbAUWiMhZEXkw+rHiw9P1Ldhtwt0ryq2OohKE027jQyvLuWNZKcfaB/j+66foHdYbidTlhXPVyseNMaXGGKcxZpYx5rGZCBbr/AHDs3tauGF+IYXuFKvjqAQiIlxTXcCnr6mif3ScRzc3apmry9KhlWnacqqTtv5RPcmpoqamKJMHrqliyOvj0c2N9I3o6kPq4rTIp+mX9WfJSnVwy8Iiq6OoBDY7L50H1oXK/I0G2vtHrY6kYpAW+TT0DY/z0qE27lxepgtIqKiryEvngWsqGfD6+PQTOxnQdUHVBbTIp+EX9c2Mjge4f+0cq6OoJFGRn8F9ayo43j7A55/czbg/YHUkFUO0yKcoEDA8uf0MdXNy9dpxNaPmF7v5xoeX8saJTv7ilwd0jnP1Fl3qbYJw7so70TFAY+cQqyvzpnwXn1JX6qN1s2ntHeVfXjlOeU4qf/beBVZHUjFAi3yKtjV0k+Gys0SPxpVFvnhLDS29w/zrxpPMyk3no6tnWx1JWUyLfAp6h8c42trP9fMLcei848oiIsLffWgprX2jfPWZA5TmpHLdPF0nNplpG03BjqbgbL5rqnS6WmUtp93Gf9x/FTVFmTz8k90cPtdvdSRlIS3yMI37A+xs6qG2xE1uusvqOErhTnXyxAOrcac6+NTjO2jsHLI6krKIFnmYdjV1M+T1sa6mwOooSr2lNDuN/3pwLQFj+MSj2zmnC1QkJS3yMPj8ATad6GROfjpVBRlWx1HqHWqKMvnxZ9bQPzrOJx7djmfAa3UkNcO0yMOw+0wvfSPj3LygCBFdBUjFniXl2Tzx6dW09o3ysUe20tyta4EmEy3ySfgDhtePdzA7N42aoouv2qJULKirzOPHD66hc8DLPd/boidAk4gW+ST2NvfQMzzOTbV6NK5i3+rKPJ5++BrsNuFjP9jK5hOdVkdSM0CL/DL8AcNrxzyU5aSyoNhtdRylwjK/2M0vH76G0pxUPvn4dv7+t0cZ8+ncLIlMi/wytpzqpGtojFtri/VoXMWVspw0nv3COu5dXcH3Xz/FPd/bwsmOQatjqSjRIr+EvpFxfn+0gwXFbhaU6NG4ij/pLgff+PBSvv+JVTT3DLP+25v4m2cP6lUtCUhv0b+EFw+0EggY7lxepkfjKmZMd6K2h2+oZuPRDp7cfpqf72zmmup81s7NJzvN+a5t71tbcaUx1QzTIr+IE+0DHGjp49aFReRl6F2cKv65U53cvaKcddUFbDjSzuvHPWw64WFhaRZrq/KZW5iBTQ9Y4pYW+QXG/QGe23eO/AyXTkSkEk6BO4X71lTQPTTGjsYudjb1cOhcP1mpDpbPymFFRQ7GGP0pNM5okU9gjOHZPS10DY3xmXVVOHWGQ5Wg8jJcrF9Syi0LiznS2s/e5l7ePNXJGyc7eflQGx9cWc7dK8opz0mzOqoKgxb5BFsbutjT3MstC4v05h+VFJx2G8tm5bBsVg5DXh8HWvpo6R3hmy8d4x9fPsZ18wr5+OrZ3LKwGJdDD2xilRZ5yLaGLl480MrCEjc3LSiyOo5SMy4jxcHVc/O5b20Fzd3DPF1/lv/e1czDT+6mINPF/Wvn8Imr51DoTrE6qrqARGPdv7q6OrNr166Iv260nPIM8rEfbAWEz99YTarTbnUkpSwz8aoVf8Cw6biH/9p2mo1HO3DZbdy1ooyHrp/LfL1JLqJEpN4YUzedr036I/K9zb088MQObCJ88j0VWuJKTWC3CTfVFnFTbRENnkF+uKWJX+w6y9P1Z7mltog/vqGa1ZW5enLUYkl9RP76cQ8P/6SegswUfvyZNWw51WV1JKVi3rDXx9bGLrae6mJ4zM/s3DSum1fIorKssC5h1OvUL06PyKfI6/Pz/dca+LeNJ5hX7OZHn1lNkTtVi1ypMKSnOLiltpjragrZfaaHzSc7eWrHGfIyXFw9N59VFbmkufQn25mUdEW+9VQXf/XsARo8Q9yxrJT/9+GlZKW+++42pdTluRw2rp6bz5qqPA6f62fzyU5ePNDKhkNtLJuVw1VzcqjM1xuNZkJSFPmYL8CGw208ue0MWxu6qMhL50efWcMN8/WGH6WulE2EJeXZLCnPprVvhO0N3ext7mX3mR7cqQ6WlETJPFYAAAj7SURBVGdTW+JmTl6GXsIYJWEVuYisB74D2IFHjTF/H9VUEdDRP8rWhi62nOzi90c76Bz0Mis3ja+sr+WBdZV6UlOpKCjNTuODK8u5fWkpR9v62X+2j52N3Ww91YXdJlTkpXOme5iFpW5qS7KYk5+u34sRMGmRi4gd+C5wG3AW2CkizxljDkc7HATvtvQHDON+w5gvgNfvxzseYNDrY3jMR+/wOJ2DXjoHx2jpHaHBM0iDZ4iO0AxvWakO1tUU8NHVs7l+XiF2m/6Yp1S0uRxv32jk9fk53TXMqY5BTnUO8tjmBsb9b19kkZ3mpCQrlZx0J+kuO+kuB07729+nvoDB6wsw5gswOu4P/QowMu4PdoLPz7jfEAh1hQEcNsFhE5x2G6lOO2kuO+kuO5kpDtypDjJTnLhTHRN+OclIceBOcby1bZrTTorDTorThstuw+mw4bAJ9tBrx9KVOuEcka8BThpjGgBE5GfA3UDEi3zl1zYwNObHGIMx4A/9N1zZaU6qCzO4fn4hC4rdvKc6n4WlWVreSlkoxWFnfrH7revO/QGDZ9BLW98ovcNj9I2M0z/qo73fy7g/WNj+Cd/4NgGHzYbDLjhsNlyOYEHnOp047La3SltEEIFFZVn4/QZfwDDuDxb+yJif4TE/g14fXZ3DDIyOM+D1Mej1TaljLmS3CTYBQUCgMDOFN//i5iv9K5uycIq8HGie8PuzwNoLNxKRh4CHQr8dFJFjVx5v6va/+6kCIBHWu9L9iB2JsA+g+xFxJwD5y2l/+YLpfmE4RX6xw9l3/T/MGPMI8Mh0g0SLiOya7rWZsUT3I3Ykwj6A7kesEZFp33wTzinks8DsCb+fBZyb7hsqpZSKrHCKfCcwT0SqRMQF3As8F91YSimlwjXp0IoxxicifwK8TPDyw8eNMYeinixyYm64Z5p0P2JHIuwD6H7EmmnvR1TmWlFKKTVz9DYrpZSKc1rkSikV5xKiyEVkvYgcE5GTIvIXF/nzFBH5eejPt4tI5cynnFwY+3G9iOwWEZ+IfMSKjOEIYz/+TEQOi8h+Efm9iMyxIudkwtiPz4nIARHZKyKbRWSRFTknM9l+TNjuIyJiRCQmL+UL4/P4tIh4Qp/HXhH5IytyTiacz0NEPhr6HjkkIk9N+qLBuyjj9xfBE7CngLmAC9gHLLpgm88D3w89vhf4udW5p7kflcAy4MfAR6zOfAX7cROQHnr8cBx/HlkTHt8FvGR17unsR2g7N7AJ2AbUWZ17mp/Hp4F/tzprBPZjHrAHyA39vmiy102EI/K3phAwxowB56cQmOhu4Eehx08Dt0gsTZQQNOl+GGOajDH7gYAVAcMUzn68aowZDv12G8F7E2JNOPvRP+G3GVzkRrkYEM73B8DXgW8CozMZbgrC3Y9YF85+fBb4rjGmB8AY0zHZiyZCkV9sCoHyS21jjPEBfUD+jKQLXzj7EQ+muh8PAr+NaqLpCWs/ROQLInKKYAl+cYayTcWk+yEiK4HZxpgXZjLYFIX77+qe0JDd0yIy+yJ/brVw9mM+MF9E3hSRbaHZZy8rEYo8nCkEwppmwGLxkDEcYe+HiHwCqAP+MaqJpifcqSm+a4ypBr4C/HXUU03dZfdDRGzAvwB/PmOJpiecz+N5oNIYswx4hbd/Co8l4eyHg+Dwyo3Ax4FHRSTnci+aCEUezhQCb20jIg4gG+iekXThS5SpEMLaDxG5Ffgr4C5jjHeGsk3FVD+PnwEfjGqi6ZlsP9zAEuA1EWkCrgaei8ETnpN+HsaYrgn/lv4TWDVD2aYi3L76tTFm3BjTCBwjWOyXZvXgfwROHjiABqCKt08eLL5gmy/wzpOd/2117unsx4Rtf0jsnuwM5/NYSfCEzzyr817hfsyb8PhOYJfVua/k31Vo+9eIzZOd4XwepRMefwjYZnXuae7HeuBHoccFBIdi8i/7ulbvWIT+cm4HjofK4a9Cz32N4NEeQCrwC+AksAOYa3Xmae7HaoL/tx4CuoBDVmee5n68ArQDe0O/nrM68zT34zvAodA+vHq5gozl/bhg25gs8jA/j2+EPo99oc+j1urM09wPAf6Z4JoPB4B7J3tNvUVfKaXiXCKMkSulVFLTIldKqTinRa6UUnFOi1wppeKcFrlSSsU5LXIV80TkxcnubLtg+0oRORjNTJd570Er3lclt0mXelPKasaY263OoFQs0yNyZTkR+bKIfDH0+F9EZGPo8S0i8hMRaRKRgtCR9hER+c/QPM0bRCQttO0qEdknIlsJ3sl7/rUXi8iO0PzU+0VkXuh1jorIjyZMsJQ+4XVeF5F6EXlZREpDz1eLyEuh598QkdrQ81UislVEdorI12f4r04pQItcxYZNwHWhx3VApog4gWuBNy7Ydh7BKT4XA73APaHnnwC+aIx5zwXbfw74jjFmRei1z4aeXwA8YoITLPUDnw+9578RnP5gFfA48Heh7R8B/jT0/P8C/iP0/HeA7xljVgNt0/0LUOpKaJGrWFAPrBIRN+AFthIs3et4d5E3GmP2Tvi6ShHJBnKMMa+Hnv+vCdtvBb4qIl8B5hhjRkLPNxtj3gw9/gnB/2ksIDiB1O9EZC/B2QxniUgmcA3wi9DzPwBKQ1+7DvjpRd5XqRmjY+TKcsaY8dDMew8AW4D9BFcRqgaOXLD5xJkS/UAawbkpLjrXhDHmKRHZDnwAeDm0/FfDRbY3odc5dOFRvYhkAb2ho/qLvs1ld1CpKNMjchUrNhEcsthE8Cj8c8BeE8ZkQMaYXqBPRK4NPXX/+T8TkblAgzHmX4HnCC6VB1AhIucL++PAZoLThRaef15EnCKy2ARXAmoUkT8IPS8isjz0tW8SnFHzHe+r1EzSIlex4g2CwxVbjTHtBJccu3BY5XIeAL4bOtk5MuH5jwEHQ0MitQTXO4Xgkf4fish+II/gOPcY8BHgH0RkH8FZDa8JbX8/8GDo+UO8vTzXl4AviMhOgvPcKzXjdPZDlXREpBJ4wRizxOIoSkWEHpErpVSc0yNypZSKc3pErpRScU6LXCml4pwWuVJKxTktcqWUinNa5EopFef+P/+D7MZJxxphAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df['windspeed'],bins=10,kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20590fd0>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gfZkOJ5GWJOLNxFqrshKR2AgEAge+MPrVICfBdeDmjdE8yUI/kSJyyHe3Ojf+fQ4nkZbEdfDnpaioKHpjRO2dRaTF6dChAwDu2l3OBokzvm8+wV27E3ftTtLWzMX3zSdOR4orrtpdFBW3iuqdhlv0KpQTJkygoqLC6Rhx6bs/l7vvvtvhJPGpc+fOjB8/3ukYcSc7O5vOXbrw5ZZNBNqe43ScuOGq3YUJBwFI2beVkMN54kokhHfvZs69YlhUh2nRZVVRUcHnK1YTTs93OkrccQUsAJ+uj/3qyPFOs4YTG3TxxVRMnozx78P6spyOI3EuZU8lNhzkwgsvjO44UX33GAin51PX7QqnY0gLkrZmrtMR4trQoUN55pln8GxfQ6Ckv9NxJM55t6+hoKCQfv36RXUcHbMSkSMUFxdz4YUXkrpzHRz86EukIa66Gtx7q7jyytFRvyGjykpEjjFmzBhssB5P9Vqno0gc81Ytx+dLZdSoUVEfS2UlIsfo2bMn5/TuTdq2FRDR6QRyLFO/B0/N14wePYqcnJyoj6eyEpEG3XTjjdhALZ7tml3JsXxVn+PxeBgzZkxMxlNZiUiD+vTpc3B29Q8Ia3Yl/8PU7cGzaz1XXXkl+fmxORtbZSUix3XrLbccmF1Vr3E6isQRX9Xf8Xq8jB07NmZjNqmsjDHDjDFrjTEVxpj7jrPND4wxq4wxK40x/928MUXECWeffTZ9+vTV7EoOcdXtxrNrPVdf/X3y8vJiN25jGxhj3MATwOVAD2CsMabHUdt0Af4FuMBa2xP45yhkFREH3HzzTdhAHZ4dOnYl4N3yBV6vj+uuuy6m4zZlZjUAqLDWrrfWBoCXgdFHbXMb8IS1tgbAWru9eWOKiFPOPvtszj77HFK3rYBI2Ok44iDj34dn11eMHj2K3NzcmI7dlLJqB2w67HHlwecO1xXoaoz50BjziTGmwUWijDG3G2OWGWOWVVdXn1piETkkVvvUD394Pfi/JWXX+qiNIfHPu3UlLpeLH/zgBzEfuyllZRp4zh71OAXoAgwCxgKTjTHH1K61dpK1ttxaWx7NpeRFkkWs9qkBAwZQ1qEDqdtWgj1695ekEPLj27mOIYMHR/VWIMfTlLKqBA6/x3V7oKqBbWZaa4PW2q+BtRwoLxFJAMYYrr3mGkztLtz7tThyMvLsqMCGg1x77bWOjN+UsloKdDHGnGGM8QJjgFlHbTMDuATAGFPIgY8F9XmBSAIZMmQI6RkZeLbrNPakYy2pO9bSrXt3unbt6kiERsvKWhsCxgHzgdXAK9balcaYB40x3y0INR/YaYxZBSwEfmGt3Rmt0CISe2lpaQy99FK8uzdCKHq3L5f4496/Dep2MzoGawAeT5Ous7LWzrXWdrXWdrLW/r+Dz91vrZ118Gtrrb3HWtvDWtvLWvtyNEOLiDOGDx+OjYTx7PzK6SgSQ54d6/ClpnLxxRc7lkErWIhIk3Xp0oUOHc7Aq7MCk0c4hHf3Ri4ZNCiqt61vjMpKRE7KsGGX4dq/HVO/x+koEgMpu7/BhgIMHTrU0RwqKxE5KYMHDwbAs+trh5NILKTsWk9efj7nnHOOozlUViJyUoqLizmrVy+8NSqrhBcK4Nm7mSGDB+N2ux2NorISkZM2ZPBgTG0Nrroap6NIFKXs/gYiYS655BKno6isROTkXXTRRRhjSNm1wekoEkWemq8pKCyiR48ejW8cZSorETlpBQUF9DzrrAPXXEliCgfx7K3ikkEXY0xDq+7FlspKRE7JxRddhKndhanf63QUiYKUPZuwkTAXXXSR01EAlZWInKILLrgAgJTdmxrZUlqilN2byMzKomfPnk5HAVRWInKK2rZtS0lpKZ49KquEYy3evZs579xzHT8L8DsqKxE5ZQP69yfl2+26KWOCcdXtwgbrKS8vdzrKISorETllvXv3xoZDuL7d4XQUaUbufQduA9O7d2+Hk/wPlZWInLIzzzwTAHetbrKQSNy1O8nOyaFVq1ZORzlEZSUip6yoqIiMzCxdHJxg3HU1dO7c2ekYR0hxOsDp2Lx5M+7aPaStmet0FGlB3LU72bw55HSMhGCMoVVxMXt21jodJbrCAVJTUxkxYgSzZ89mfzjgdKKocofqaB1HsyrQzEpETlN+fh6ucL3TMaLKhAKMGDGCcePGMXz4cEwoscvKBmrJy8tzOsYRWvTMql27dmz1p1DX7Qqno0gLkrZmLu3axdffGlsyl8sF1ukU0WVTvMyePRtrLXPmzMGmOHdfp5iwxMWqFYfTzEpETkswGMTG2S+2Zuf2Ul9fz/Tp06mvrwe31+lE0eVyEQrF10flKisROS3bq6uJeBJ8ppFkjDedHTvi63IElZWInLJQKMT2bduw3kyno0gzCnkyqazc7HSMI6isROSUrV+/nmAwSDij0Oko0ozCGQWsq1hHIBA/J5KorETklC1fvhyAcGaxw0mkOYUzWxEOhVi1apXTUQ5RWYnIKXvv/fex6flYnz4GTCSh7DbgcvPhhx86HeUQlZWInJKdO3ey4h//IJBb6nQUaW5uL6GstixctIhIJOJ0GkBlJSKnaN68eVhrCRZ0cjqKREGwoBM7qqv57LPPnI4CqKxE5BSEw2FmvfEG4azW2NQcp+NIFITyyjCeVGbOnOl0FEBlJSKn4KOPPmLb1q0Eirs7HUWixeWmvqALH3zwAVu2bHE6jcpKRE6OtZaXX54GqVmE8sqcjiNRFGzVA4vh1VdfdTqKykpETs7y5ctZuXIF9cU9wehXSCKz3gyC+R2Z9cYb1NQ4exsY/aSJyEl54YUXMd40gkVdnY4iMeBvcw7BQIBXXnnF0RwqKxFpsuXLl/PZZ59S16oXuFr0TRukiWxaDsH8jkyf/pqjs6smlZUxZpgxZq0xpsIYc98JtrvGGGONMeXNF1FE4oG1lsnPPAPedIJF3ZyOIzHkb9uHQDDAX/7yF8cyNFpWxhg38ARwOdADGGuM6dHAdlnAXcDi5g4pIs5bsmQJ//jiC+rbnANuzaqSiU3LIVDQmddnzGDbtm2OZGjKzGoAUGGtXW+tDQAvA6Mb2O63wENAYt8yVCQJhcNh/uuppyA1i2ChjlUlo0DbPkQilmeffdaR8ZtSVu2ATYc9rjz43CHGmD5AibV29oneyBhzuzFmmTFmWXV19UmHFZEjxWqfeuedd/h6/Xrq2vYDlztq40j8sr5M/MXdmf/WW3z11VcxH78pZdXQLUAP3cTaGOMCHgHubeyNrLWTrLXl1tryoqKipqcUkQbFYp/y+/1MenoykYxCQvlnRGUMaRn8bc7BpHh5cuLEmI/dlLKqBEoOe9weqDrscRZwFrDIGLMBOBeYpZMsRBLDq6++ys4d1dS37w+Jfvt6ObEUH3Wtz+HTZctYsmRJTIduSlktBboYY84wxniBMcCs71601u6x1hZaaztYazsAnwCjrLXLopJYRGKmpqaGF196iVBuKeHsNk7HkTgQLO4Oqdk8+eREwuFwzMZttKystSFgHDAfWA28Yq1daYx50BgzKtoBRcQ5L7zwAvX19fjb64MSOcjlpq5dXzZs+Jq33norZsM26fxTa+1cYO5Rz91/nG0HnX4sEXFaVVUVM2fOIlDYlUhartNxJI6E8s4gkrmSyZOfYfDgwfh8vqiPqRUsRKRBzz//PBZDoG0fp6NIvDGG+rZ92blzB3PmzInJkCorETnGli1beOutt/AXnYn1pjsdR+JQOLst4azWvPjSSwSDwaiPp7ISkWO89tprB2ZVrc9yOorEK2Pwt+5Fza5dLFq0KOrDqaxE5AiBQIDZc+YQzOuA9WY4HUfiWDinPTYtl9dnzIj6WCorETnCp59+Sl1tLcGCTk5HkXhnDIH8jqxauZIdO3ZEdagWvxqlu3YXaWvmNr5hknHV7wUgkprtcJL4467dBbRyOkbcWrx4McbtIZzd1uko0gKE8srwbf6MJUuWcMUVV0RtnBZdVp07d3Y6QtyqqNgHQOeO+qV8rFb62TmBrzdsIJyWpzUApUkiqbngcrNhw4aojtOiy2r8+PFOR4hbd999NwCPPfaYw0mkpamq2kLYm+l0DGkpjAFfFlu3bo3qMDpmJSJH8Pl8YCNOx4grkfR8rNuDdXsIZbUmkp7vdKS4Ymw46hcGt+iZlYg0v7y8XL7ZtcXpGHHFX3ourtpdANR1i95xmRYpEoZgHTk5OVEdRjMrETlC//JyXN9WYwK1TkeRFsC9twobDlFeHt31I1VWInKEiy++GABP9RqHk0jcsxbv9jWkpafTt2/fqA6lshKRI5SVlXHJJYPxbf0Hpn6P03EkjqXs/oaUPZu48cc/xuv1RnUslZWIHGPcuDtJ8/nIWL8IwgGn40gcMvV7SP/mIzp0OINrrrkm6uOprETkGAUFBfzmNw/grttNesW7EAk5HUniiAnUkrnuLTJ9Hh588N9ISYn+uXoqKxFp0MCBA7nvvl/i3ruFjC/fwgTrnI4kccBVW0Pm2jn4CPKHPzxEaWlpbMaNySgi0iINHTqUX//61/jqd5K5Zvah07clObl3f0Pmmtnkpnl49JFH6NatW8zGVlmJyAkNGTKECRMmkJvmIXP1bDxbV4K1TseSWAoH8W38mPR179CpYweenvQU3bt3j2kElZWINKpbt248M/lpBg4oJ3XTYtLXvok5uFiyJDbXvm1krZ6Fd/tqrr76ah6fMIGioqKY59AKFiLSJAUFBfznf/4n8+bN489/nkDKyhnUt+5FoE0vcOlXSaIxwTq8lcvw7lhHcXEr/uU/fkOfPn0cy6OfMBFpMmMMl19+Of369WPixIksXLgQ364K6tr3J5RbdmBRU2nZIhE821eTtuVzjA1x7XXXceONN5Kenu5oLJWViJy04uJiHnjgAUaNGsWjjz3GxooFRLJaUdeunEiWbkvTIllLSs0G0qo+g7o99Ovfn/HjxlFWVuZ0MkBlJSKnoU+fPjwzeTJz5szhuSlT2L1mDqHcUvzt+xFJy3M6njSRe28VqZs/xbW/mrIOHfjJ7b/kvPPOw8TRTFllJSKnJSUlhdGjRzN06FCmT5/OX/7y36SseJ1gfif87XpjU6O7GrecOve+rfiq/o577xYKCou4bdx9XHrppbjd8XfjTZWViDSLtLQ0brjhBkaMGMG0adOYPv01PCvWEyzojL/NOdjUbKcjykGu/dtJrfo77j2bycnN5UfjxjFy5Mio35PqdKisRKRZ5ebm8pOf/IRrr72WqVOnMmPGDDw7K1RaceDwksrKzuaHd9zBlVdeSWpqqtPRGqWyEpGoyM/P58477+S6665j6tSpzJo160Bp5XfC37a3SiuGji6psbffzpVXXun4GX4nQ2UlIlFVWFjI+PHjuf7665k6dSozZ87Es+urg6V1jo5pRZF737aDx6SqyMrO4Yd33MGoUaNaVEl9R2UlIjFRUFDAuHHjGDt2LNOmTeP1GTPwrPiKYH7HgzMtlVZzObyksnNyuf6OOxg9ejRpaWlORztlKisRiamCggJ+9rOfMWbMGF5++eWDpaUTMZrD4R/3Zefk8sOf/pRRo0a16JL6jspKRByRn59/ZGm9/jqenRUECroQaNsb68t0OmKL4fp2B77Nn5Gyp5Ks7Gxu+OlPGT16dIs4caKpmlRWxphhwGOAG5hsrf3dUa/fA/wTEAKqgVustRubOauIJKDvSuu6667jL3/5CzNnzcK7q4JAYTcCbc/Belr+rCBaXHW78W7+FE/NRjIys7j+ttu46qqrWuQxqcY0WlbGGDfwBHApUAksNcbMstauOmyzvwPl1tpaY8xPgYeA66IRWEQSU0FBAXfddRdjxozh+eef580338S3cx31xT0ItO4FKV6nI8YN49+Pr+rveHZW4PP5GHPjjfzgBz8gIyPD6WhR05SZ1QCgwlq7HsAY8zIwGjhUVtbahYdt/wlwQ3OGFJHkUVxczC9+8QvGjBnDs88+y8KFC0ndsZa6NucQLOoGrvhbXSFmQn58W77At30VbpeL7197Lddffz25ublOJ4u6ppRVO2DTYY8rgYEn2P5W4M2GXjDG3A7cDsTsVsgiiSyR96mSkhIeeOABxo4dy8SJ/8Xf/76Y1Oo11LXtSyivQ3Kt8B4J49IXLrIAAAooSURBVNm+hrSty7EhP0OHDuXWW2+luLjY6WQx05SyaugnosHbhBpjbgDKgYsbet1aOwmYBFBeXq5bjYqcpmTYp7p27cqf/vQwS5Ys4cmJE9n41UIiWa2pKxlIJKPA6XjRZS3uPZtIr1wKdXvo068fP73jDrp06eJ0sphrSllVAiWHPW4PVB29kTHme8C/Ahdba/3NE09E5MB9tAYOHEh5eTlz585l0tNP41o1k0BRVwLt+iXkSRiuut2kblqMe89m2rVvz13jf8XAgSf6UCuxNaWslgJdjDFnAJuBMcD1h29gjOkDPAUMs9Zub/aUIiKA2+1m5MiRDBo0iBdffJFXX52Or2Yjde36ESzqCsbldMTTFw7irfoc37aVpKWlcsudd3LVVVeRkpLcVxo1+l9vrQ0ZY8YB8zlw6vqz1tqVxpgHgWXW2lnAH4BM4K8H73/yjbV2VBRzi0gSy8rK4mc/+xnDhw/nkUcf5fO/f4R35zrqSs8jklHodLxTllKzkbRNi8G/n2HDhnHHHXckxckTTdGkqrbWzgXmHvXc/Yd9/b1mziUi0qiysjIe+dOfWLBgARMmPM7u1W8QaNUTf9u+4G45MxETrCV14yek1GygrEMH7r3nPzj77LOdjhVXWs7/TRGRBhhjGDJkCAMHDuSpp57ijTfewLv7G2rLLiCc3cbpeCdmLSk71pFeuRQ3EW6+7Tauu+66pP/IryEJ8AGviAhkZmZy77338uijj9ImL5P0tW/i2/gJhENOR2uQCdaStu4d0jZ8wFndz+S5557lhz/8oYrqOFRWIpJQevfuzXPPPcvVV1+Nd/sqslbPwvXtDqdjHSFl1wayVs4grXYr48eP57HHHqWkpKTxb0xiKisRSTipqamMHz+eP/7xjxSkp5CxejaerSvAOnwpWiSEb8OHpH21gE4dSpg8eTJXX301Lpd+FTdGf0IikrDKy8uZMuU5Ljj/PFI3LSGt4h0IOXMZqKnfQ+bq2Xir1zJ27Fj+a+JEysrKHMnSEqmsRCShZWVl8e///u+MHz8e374qsla/gau2JqYZ3Ls3kbX6DbLcQX73u9/xk5/8RMemTpLKSkQSnjGGq6++mj//+c/kprrJXDOblJoY3MXIWrxbviB93dt0LCvlmcmTOffcc6M/bgJSWYlI0ujZsydPPz2JLp07klbxLp7tq6M3mI3g2/gRvsplXHLJJTzxxOO0atUqeuMlOJWViCSVoqIiJvz5z5x3/vmkbvwY7+bPmv/Ei0iItK8W4q1ey/XXX8/999+fUHftdYLKSkSSjs/n47cPPsiwYcPwVX2Ot3JZ8xVWJExaxQJSajZy5513cvvtt2OS6XYmUaIjfCKSlFJSUvjlL3+J1+tl1qxZ4HITaNf39N40EiFt/UJS9lRyzz33MGqUlkhtLiorEUlaxhj++Z//mUAgwLx587CedILF3U7tzazF981HpNR8w1133aWiamYqKxFJai6Xi1/84hfsqqlhyZKPifiyCOe0O+n38Wxbibf6S2644Qa+//3vRyFpctMxKxFJem63mwfuv5+ysjIyvv4bJlB7ct+/byuplUv5XxddxC233BKllMlNZSUiAmRkZPDbBx/EYyxpX7/X9BMuQn7Sv36P1q1b8y/33aelk6JEf6oiIgeVlpZy113jce+twlO9tknf49u0FFewlgfuv5/09PQoJ0xeKisRkcMMHz6c3r17k1b1KSZYd8JtXfu3493xJddccw3du3ePUcLkpLISETmMMYaf//znmHAIb9Xy429oLWmVS8nLz+emm26KWb5kpbISETlKWVkZw4Zdhm/H2uOebOHeW4Vr3zZuuvFGffwXAyorEZEG/OhHP8Jg8W5b2eDrvq3/IL+ggMsvvzzGyZKTykpEpAFt2rTh/PMvwLdzHURCR7xm6vbg3lvFVVdeidfrdShhctFFwc1kwoQJVFRUOB3jkO+y3H333Q4nOaBz586MHz/e6RgiJ2X06FF88MH7pOzedMTznh1f4nK5uOKKKxxKlnxUVgkqLS3N6QgiLV7fvn3JzskluOtrIun5B560Ft/ujfTp25eCggJnAyYRlVUz0axBJPG43W4GXXwRb8x5k729rweXG1ftLqjfyyWDBjkdL6nomJWIyAkMGDAAGw7i/rYaOHAW4HfPS+yorERETqB3794YY3Dv3QJAyr4ttGnbjuLiYoeTJReVlYjICWRmZlJSWnpgZmUtntqdnN3rLKdjJR2VlYhII3r26IGnbicmWIsN1HLmmWc6HSnpqKxERBrRsWNHbKDu0EeBHTt2dDhR8lFZiYg0orS0FICU3RsB6NChg4NpklOTysoYM8wYs9YYU2GMua+B133GmGkHX19sjOnQ3EFFRJzStm1bAFL2bsGXmkpOTo7DiZJPo2VljHEDTwCXAz2AscaYHkdtditQY63tDDwC/L65g4qIOKVVq1YAmHCA1q1aY4xxOFHyacrMagBQYa1db60NAC8Do4/aZjTw/MGvXwWGGP3fFJEE4fV6yczKBqC4uMjhNMmpKWXVDjh8YazKg881uI21NgTsAY5Zh8QYc7sxZpkxZll1dfWpJRaRQ7RPxc53Syvl5+c7nCQ5NaWsGpoh2VPYBmvtJGttubW2vKhIfzsROV3ap2InL/fAcSodr3JGU8qqEig57HF7oOp42xhjUoAcYFdzBBQRiQepqakAZGdnO5wkOTWlrJYCXYwxZxhjvMAYYNZR28wCbjz49TXAAmvtMTMrEZGWLiMjw+kISanRVdettSFjzDhgPuAGnrXWrjTGPAgss9bOAp4BXjTGVHBgRjUmmqFFRJyiW9g7o0m3CLHWzgXmHvXc/Yd9XQ9c27zRRETij8/nczpCUtIKFiIiTfDd1Tgej8fhJMlJZSUichJ0CakzVFYiIk3Qt29fAAoLCx1Okpx0W3sRkSa45pprGDx48KGLgyW2NLMSEWkCY4yKykEqKxERiXsqKxERiXsqKxERiXsqKxERiXsqKxERiXsqKxERiXsqKxERiXvGqTt5GGOqgY2ODJ48CoEdTodIcGXW2ri466H2qZjQPhV9De5TjpWVRJ8xZpm1ttzpHCKJQvuUc/QxoIiIxD2VlYiIxD2VVWKb5HQAkQSjfcohOmYlIiJxTzMrERGJeyorERGJeyqrBGSMGWaMWWuMqTDG3Od0HpGWTvuU83TMKsEYY9zAl8ClQCWwFBhrrV3laDCRFkr7VHzQzCrxDAAqrLXrrbUB4GVgtMOZRFoy7VNxQGWVeNoBmw57XHnwORE5Ndqn4oDKKvGYBp7TZ70ip077VBxQWSWeSqDksMftgSqHsogkAu1TcUBllXiWAl2MMWcYY7zAGGCWw5lEWjLtU3EgxekA0rystSFjzDhgPuAGnrXWrnQ4lkiLpX0qPujUdRERiXv6GFBEROKeykpEROKeykpEROKeykpEROKeykpEROKeykpEROKeykpEROLe/we4YHVqWfj2NwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#temp和atemp箱体图\n",
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(7,4))\n",
    "sns.boxplot(data=df['temp'],ax=axes[0])\n",
    "sns.violinplot(data=df['temp'],ax=axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    188\n",
       "2    184\n",
       "1    181\n",
       "4    178\n",
       "Name: season, dtype: int64"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['season'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "sns.countplot(df['season'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20675be0>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cPe4G9rIUeGjW9jTwqtkDkqwD1nWbTye5d0S9LQSLgUfG3cR8kI+sHXcL+mn+29zj/TkUZ/mV/e2Yb6Ew7G9bP7VRtR5YP5p2FpYkU1U1Oe4+pL35b3N05tvto2lg+aztZcD2MfUiSQvOfAuFbwIrk5ya5HnARcCmMfckSQvGvLp9VFW7klwG/CuwCLimqu4ec1sLibflNF/5b3NEUlXPPUqStCDMt9tHkqQxMhQkSY2hIKcW0byV5JokO5PcNe5eFgpDYYFzahHNc9cC5467iYXEUJBTi2jeqqqvAY+Nu4+FxFDQsKlFlo6pF0ljZijoOacWkbRwGApyahFJjaEgpxaR1BgKC1xV7QL2TC2yFdjo1CKaL5J8Dvgv4DeSTCe5ZNw9Hemc5kKS1HilIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCNALdbLTSvDevfqNZOlwl+RDwSFV9vNu+AngYeB2wA1jFYGpyaV7zy2vSIZBkBfClqjojyVHAfcCfAdcBL6+q+8fYnjRnXilIh0BVPZDk0SSnAycD3wIeBW43EHQ4MRSkQ+fvgbcCLwau6Wo/HFs30kHwQbN06NzA4KcjX8lggkHpsOOVgnSIVNWPk9wKPFFVu5Nhv18kzW8+aJYOke4B8x3AhVV137j7kQ6Gt4+kQyDJacA24BYDQYczrxQkSY1XCpKkxlCQJDWGgiSpMRQkSY2hIElq/h+vXDqzWKcyawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['yr'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x206ceef0>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['mnth'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x206be048>"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['holiday'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2061ff28>"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['weekday'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ecbeac8>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['workingday'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e327550>"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['weathersit'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征与特征之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ecc9c18>"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#用热度图表示不同特征之间的相关系数\n",
    "cols=df.columns\n",
    "data_corr=df.corr()\n",
    "sns.heatmap(data_corr,annot=True)   #annot表示数据之间的相关性大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21856828>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr=data_corr.abs()\n",
    "plt.subplots(figsize=(13,9))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "\n",
    "sns.heatmap(data_corr,mask=data_corr<0.5,cbar=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "instant and yr = 0.87\n",
      "instant and registered = 0.66\n",
      "instant and cnt = 0.63\n",
      "season and mnth = 0.83\n",
      "yr and registered = 0.59\n",
      "yr and cnt = 0.57\n",
      "workingday and casual = 0.52\n",
      "weathersit and hum = 0.59\n",
      "temp and atemp = 0.99\n",
      "temp and casual = 0.54\n",
      "temp and registered = 0.54\n",
      "temp and cnt = 0.63\n",
      "atemp and casual = 0.54\n",
      "atemp and registered = 0.54\n",
      "atemp and cnt = 0.63\n",
      "casual and cnt = 0.67\n",
      "registered and cnt = 0.95\n"
     ]
    }
   ],
   "source": [
    "size=data_corr.shape[0]\n",
    "col=cols.drop('dteday')    #去掉object型对象\n",
    "corr_list=[]\n",
    "threshold=0.5\n",
    "for i in range(size):\n",
    "    for j in range(i+1,size):\n",
    "        if data_corr.iloc[i,j]>threshold and data_corr.iloc[i,j]<1:\n",
    "            corr_list.append([data_corr.iloc[i,j],i,j])\n",
    "for v,i,j in corr_list:\n",
    "    print('{} and {} = {:.2f}'.format(col[i],col[j],v))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKEAAACoCAYAAACIXo5+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAALmUlEQVR4nO3de4xU5RnH8e9vryywyOICGtctjcVUS00tm0pqk2Jv2RqDxtKqLVYNcRNbtbGNxqba2ksaq38YWy3tBg2iUVRadEOol1h7SSvK4gUVayTeumIL6BZFFtjdefrHOQPD7uzMgHv2nTPzfJLJnDPznsM7sz/OZeZ95sjMcC6kmtAdcM5D6ILzELrgPIQuOA+hCy51Iezs7DTAb+m85ZW6EO7YsSN0F9w4S10IXeXxELrgPIQuOA+hC64uqRVLuh04A9hmZvPyPC/gZuB0YDdwoZk9nVR/ytnQUIY9Q/swQBw4jcydPtT5UG137zUGM8ZwxphUV8vM5kZqakQhiYUQWAHcAqwc4/mvAnPj2ynAsvi+qgwNZfhgcB8AEmTiv2ju9KHOh2q77f1Bdry/lytXb6Kvf4C2lia6z5/Px4+aVjCIiYXQzP4maU6BJmcCKy0axrNe0nRJR5vZ20n1qRxt27WXShnJ1PfuANc++AJ9/QPRfP8AXXduZM13TmVmc+OYyyW5JSzmGODfOfN98WOjQiipC+gCaG9vn5DOTZTB4UzoLoybyQ21+wOY1dc/wL6h4YLLhQxhvu1z3k2CmXUD3QAdHR2VsdmI1dfWVMyWcPe+Ydpamg4KYltLEw11tQWXCxnCPuDYnPk2YGugvgQza2rjQceElnP8ZSOOv0qdD9W2bUYTNy4+adQx4ZFTGgq+ByFD2ANcKmkV0QnJzmo7HgSoq6thCg37z45rdGB3kDt9qPMh2h41rZ5pjXWs6lpAJmM0hj47lnQPsBBoldQH/ASoBzCz3wHriD6e2UL0Ec1FSfWl3NXV1TC1blLoboyL5sN4GUmeHZ9X5HkDvpvUv+/Sw78xccF5CF1wHkIXnIfQBechdMF5CF1wHkIXnIfQBechdMF5CF1wHkIXnIfQBZdoCCV1SnpZ0hZJV+d5vl3S45KekbRJ0ulJ9seVp8RCKKkWuJWooOlE4DxJJ45odg1wn5mdDJwL/Dap/rjyleSW8DPAFjN71cz2AauIiptyGTAtnj6CKhxZ7ZIN4ViFTLmuA5bEg17XAZflW5GkLkm9knq3b9+eRF9dQEmGsJRCpvOAFWbWRjTK+k5Jo/pkZt1m1mFmHTNnzkygqy6kJENYSiHTUuA+ADN7ApgEtCbYJ1eGkgzhBmCupI9KaiA68egZ0eZN4IsAkk4gCqHvb6tMYiE0syHgUuBh4CWis+AXJf1M0qK42Q+AiyU9B9xD9Hs0lVGE60qmtP3NOzo6rLe3N3Q33OHJW/vp35i44DyELjgPoQvOQ+iC8xC64DyELjgPoQvOQ+iC8xC64DyELjgPoQvOQ+iCC1roFLf5hqTNkl6UdHeS/XHlKcnfrM4WOn2ZaIDrBkk9ZrY5p81c4IfAqWbWL2lWUv1x5St0odPFwK1m1g9gZtsS7I8rU6ELnY4Hjpf0D0nrJXXmW5EXOlW20IVOdUQXWFxIVPS0XNL0UQt5oVNFC13o1Ac8aGaDZvYa8DJRKF0VCV3o9ABwGoCkVqLd86sJ9smVodCFTg8D70jaDDwOXGlm7yTVJ1eevNDJTSQvdHLlyUPogvMQuuAKhlBSjaQXJqozrjoVDKGZZYDnJLVPUH9cFSplAMPRwIuSngI+yD5oZovGXsS50pUSwjXAb4B3E+6Lq1KlhHA28D3gaeB24GH/5Sw3noqeHZvZNUTf594GXAi8IumXko5LuG+uSpT0EU285ftPfBsCWoDVkm5IsG+uShTdHUu6HLgA2AEsJ/p+dzD+belXgKuS7aKrdKUcE7YCZ5vZG7kPmllG0hnJdMtVk6IhNLMfF3jupfHtjqtGwavt4naLJZmkjiT748pT6MuKIakZuBx4Mqm+uPIWutoO4OfADcCeBPviyljQajtJJwPHmtnaQivyarvKFqzaLv6I5yaia5kU5NV2lS1ktV0zMA/4i6TXgQVAj5+cVJ9g1XZmttPMWs1sjpnNAdYDi8zMC0iqTOhqO+e82s5NKK+2c+XJQ+iC8xC64DyELjgPoQvOQ+iC8xC64DyELjgPoQvOQ+iC8xC64DyELrighU6Svh9fUmyTpMckfSTJ/rjyFLrQ6Rmgw8xOAlYT1Zq4KhO00MnMHjez3fHseqLR167KhL6sWK6lwJ/yPeGFTpUt9GXFoobSEqADuDHf817oVNkSu9QspV1WDElfAn4EfN7M9ibYH1emgl5WLK47/j1RgZNfZrZKhS50uhGYCtwv6VlJI69956qAFzq5ieSFTq48eQhdcB5CF5yH0AXnIXTBeQhdcB5CF5yH0AXnIXTBeQhdcB5CF5yH0AWX5HhCJHUCNwO1wHIzu37E843ASmA+8A5wjpm9Xur6BweH2Ts8eNBIWXFg5GzudLH5pNqWsuywwa49GYYyRl2NaJ3cQGNjon+aspLYK80pdPoy0QDXDZJ6zGxzTrOlQL+ZfUzSucCvgHNKWf/g4DADw4PkDgKSIGOjp4vNJ9W2lGX3DcPW/+3lkrs20tc/QFtLE8uWzOf41ilVE8QkX+X+QicASdlCp9wQnglcF0+vBm6RpFKuLL9tV+UMws4GEKCvf4BL7trIvV0LOMZD+KHlK3Q6Zaw2ZjYkaSdwJNG1lfeT1AV0AbS3twMwlEnXOMhCsgHMna+k11dMkiEspdCppGIoM+sGuiEa1ApQV5N3fGQqtbU0HRTEtpaminp9xYQudMq26ZNUBxwBvFvKymdNbcx7TGg2errYfFJtS1l2cBiWLZk/6piwdXJDKW9DRUgyhPsLnYC3iAqdvjmiTQ9wAfAEsBj4cynHgwD19bUAo86Oa3RgU5o7XWw+qbbFlm2shfYZjdzbtcDPjsdbfIyXLXSqBW7PFjoBvWbWA9wG3ClpC9EW8NxD+Tfq62v3hzHtjmgK3YNwvNDJTSQvdHLlyUPogvMQuuBSd0woaTvwxoiHWxnxAbcry/dkh5l1jnwwdSHMR1KvmfkV43Ok6T3x3bELzkPogquUEHaH7kAZSs17UhHHhC7dKmVL6FLMQ+iCS3UIi12sp5JJel3S8/Ev3PbGj82Q9KikV+L7lvhxSfp1/D5tkvTpsL0/WGpDWOLFeirdaWb2qZzPA68GHjOzucBj8TxE79Hc+NYFLJvwnhaQ2hBSwsV6qtCZwB3x9B3AWTmPr7TIemC6pKNDdDCfNIfwUC/WU2kMeETSxrgGB2C2mb0NEN/Pih8v6/cqzcN3S75YT4U61cy2SpoFPCrpXwXalvV7leYtYUkX66lUZrY1vt8GrCE6PPlvdjcb32evDVPW71WaQ1j0Yj2VStIUSc3ZaeArwAscqNkhvn8wnu4Bvh2fJS8AdmZ32+UgtbvjsWpYAndroswG1kiC6G94t5k9JGkDcJ+kpcCbwNfj9uuA04EtwG7goonv8tj8azsXXJp3x65CeAhdcB5CF5yH0AXnIXTBeQjHkaR/HuZyZ32YwReS5kga+Ts/qeEhHEdm9tnDXPQsopFAh2sOo39sKjX8c8JxJGmXmU2VtJDoF2h3APOAjcASMzNJ1wOLgCHgEeCPwFpgZ3z7GvAFoiFXDUQfMJ9vZrslrQDeAzqAo4CrzGy1pPXACcBrwB1mdtPEvOJxYmZ+G6cbsCu+X0gUqDaivc0TwOeAGcDLHPjPPz2+XwEszlnPkTnTvwAuy2l3f7zOE4mGsmX/vbWhX//h3nx3nJynzKzPzDLAs0S7zPeAPcBySWcTfYWWzzxJf5f0PPAt4BM5zz1gZhmLfoB+dnLdnzgewuTk/rL7MFBnZkNEo13+QHQc+NAYy64ALjWzTwI/BSaNsd6K+E3h1A5gSCNJU4HJZrYuPo7bEj/1PtCc07QZeFtSPdGW8K0iqx65fKr4lnBiNQNrJW0C/gpcET++CrhS0jOSjgOuBZ4EHgUKDVbN2gQMSXpO0hVFW5cZPzt2wfmW0AXnIXTBeQhdcB5CF5yH0AXnIXTBeQhdcP8HkAChKq9fjbIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%config InlineBackend.figure_format='png'\n",
    "for v,i,j in corr_list:\n",
    "    sns.pairplot(df,x_vars=col[i],y_vars=col[j])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征与类别间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x221aba20>"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(10,4))  #axes控制图片展示在哪个子图中\n",
    "sns.boxplot(x='yr',y=\"cnt\",data=df,ax=axes[0])\n",
    "sns.violinplot(x=\"yr\",y=\"cnt\",data=df,ax=axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x221ce160>"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OHa/htnH9q2d223g/La1nWLlypU2RJY4xhieeeIIzbWfCJUPsKLyVEi4tUltby5NPPmlDA4m3Z88eAMb387rxwPETJ2hubk54TLHQnRgcMHLkSBYtWoSIsGjRIgoLC90OSSml4jJUE7gXXnieERlwxaj+bRU2PT9Iea7Fiy88n/TzA9euXcvatWsJzQyFZ5PbZWS4tMibb745KIZS9+/fj0+E0f28rrTb9W7QBM4hS5Ys4ZJLLtHeN6XUoDYUE7gDBw6wbdt2Fo5tx9fPd0URWDSug6PHqtm4caM9ASaA3+/nF//6CySvf7stxMvMNEiW8LMnfpb0pWeqqqooIjws2h/F3a53gyZwDhk5ciS//OUvtfdNKTWoeTxD723jhRdeIN0n3Dg2vm3C5hd3MSIdXnj++QRHljivv/469XX1BC/r524L8fJBcE6QqiNV/PGPf3SgwfgdPXKEwjjmdmYiZHo8rm2pNvT+JyqllFIxqq+vZ/Xq97iupIOslPh6pnweuLW0na3btlFRUZHgCAcuEAjw7HPPhruMRjnYcClIgfAfv/2PpB1eNsbQ0NBAbpzX5xlcq+2qCZxSSqmYDbUeuNdeew0rZHFbjKVDLuamsV2keYUXX3wxQZElzkcffcTp5tOEpjo8lCkQmhKi5ngN27Ztc7btGHV0dOAPBMiO8/osY9HY2JjQmGI1tP4nKqWUstVQmgPn9/tZ/vofuLwoQHHmwHqIslIMC0o6eO+9P7q2KvFiVq1ahWTJuUlbDjKlBkkVVq1a5XzjMejs7AQgLc7rU4FOl8qlaAKnlFJqWHr//fc53dLKreM6E3K/heP8BAJB3nzzzYTcLxECgQBbtm4hNHqA22XFywvWKIv1G9cnZQ3Brq7wvMd4K6r4ut3DaZrAKaWUilmyryjsjz+89holWYZZBYnZu3NslsXMgiDLX/9D0vw7VVVV4e/0w0j3YjBFhqaGJurr690L4iIG2qNsEnCPeGkCp5RSKmbJkpgM1KFDh9i7bx83jekgke+/N5V2cvJULVu2bEncTQeguroaAJPjXu+XyQ63ffz4cddiuBivN9z3Fu9vdajbPZymCZxSSqmYBYOJ6a1y24oVK/B6YEFJYoe/5hYFyE4V3n777YTeN15nzpwJP4h3klciRNo+G0sSycjIAKB/5ZvPCQCZWVkJi6c/NIFTSinVq+5J22DZ87M3oVCIP656l8sKu8hJTWzPVIoHrhrVwdo1a2hra0voveORFOU7Ij2cSRHLBaIJXLyzIP1oAqeUUipJdXR09Ph4sNq+fTuNTc1cPdqeyedXje6iKxBg3bp1tty/P3JzIxXO4niqsl2gGWgGzwee8Nfx8F8QSxLxeDxkZWTEncB1ejxkZ8dbhGRgfK60qlSSWLp0qe2FNw8ePAjAww8/bGs7kydPtr0NNTx170lKhl6lgVqzZg2pXuGykfEOnPVucl6IgvRwOwsXLrSljViNGhWp3NsO5PfvWmkWJBBJ2urCnwz977GU9vA9ioqK+n2tE7Kzs+P+w6QDyMnJSWxAMdIETg1rFRUVbNuzrd8vbP0SGTXYdtzGQpbJVXZKDTEtLS09Ph6MjDGsW7uG2QV+0myae+4RuLzQz7oNGwgEAqSkpNjTUAzKy8sREaRZMGNcWsjQDGnpaZSUlLjTfh9ycnPprKuL69pOYzSBU8o1+WDdkHxzM/rD84HOhlD26V6YNtmK1PZXdXU1p2rruH2avYsx5hQGeO+4nz179nDZZZfZ2lZvMjMzGV82niP1R+LqPUsEb4OX6dOnJ+0uHjm5ucSzl0IQQ8BAls6BU0oplYy67/Xo1r6PibJjxw4AZo2wZ/g0akZBECE8385t8+bOw1Pvib9WxkD4wTQZ5s2d50LjsUlPTycQRy2Z6G9QdCGE0zSBU0op1au6yPBSKLuI2jiHmpLFvn37yEoVSga4dVZfslIMY3MM+/bttbWdWMyfPx8TMlDrfNtyQs7GkKxSU1MJxpHARftwU1NTExtQjDSBU0op1ava2lokNQMrPY+TJ0+6Hc6AfPLJfiZkdyW0eO/FlGd3cWD/fvsb6sPll19OekY6ctz5HQPkuDCicATTpk1zvO1YGWPi2mUseo1bW4RpAqeUUqpXJ0+exErNxqTl0FBfP2iL+RpjOFp1lDFZzowljs0K0dDU7HoB29TUVK6+6mq8J7xnF1U5IgieUx5uvOFG17abikUwGMQTRw4WTaDc+v+gCZxSSqleHas+TiiSwBljOHXqlNshxaW5uZlOv5/RGc5kMcWRdk6cOOFIe7254YYbMJ0GHNyOVE4IJmS4/vrrnWs0Di0tLaSb/v9ORDe3aG1tTWxAMdIETiml1EWFQiFqT53CSsvFSguXS0jGPS1jEZ3LV5DuTAI3ItJOMmziPn/+fFJSU5wdRj0OuXm5zJkzx7k249DU0EBmHNd5ETI9HpqamhIeUyw0gVNKKXVRtbW1hEJBTHoOJi1cSb+mpsblqOITrWGXkxL7eNmzn2RQ1eqlqtXLjzZn8+wnsa84jLZz+vTp/gVqg4yMDK644orwMKoTU7Ys8J7ycu2Ca13b7D0WwWCQk6dOURjn9SOM4djRowmNKVZaB26Yc2InAtDdCJQarKLJmpWWi0nNBI930PbAtbe3A5Dhiz2DqWr10hEK93Xsb+5fn0d6pJ1k2b3iqiuvYt3addAK2L2rVQOYLsOVV15pc0MDc/ToUUKWRbx7RBQZQ+WhQ+GFEA7P89MEbpirqKjgwO6tjM+2d1JvaiD8wtd5ZJNtbRw9k7x/5Sk1WEXnb5n0HBCB9NykmNMVj0AgXLnLF8+M9TikRNoJhdwowPZp8+aFa7FJnWBy7f03kDpBRLj88sttbWegdu3aBcC4OK8fB2xraaG6uppx4+K9S3w0gYtTf3uuqqurASgtLe1XO070KI3PDvH9ee6ukkqEH212Z0NhpYayEydOgAgpJ3aBCMGULI4P0iFUywrPSXOqnyTaTrIkcCUlJRSMKKChvgEm2duW1AvlE8pd22YqVps3bybX42GEFd+8yPLI561btzqewOkcOId0dHTEvVmuUkq55dSpU0haNp72RjxtDZi07EG7CjU6F8tyqGyXZeS8dt0mIsyYPgPvafvj8bZ4mTF9hu3tDERnZycbN2xgmmUhcab1I4FCj4cPP/ggobHFQnvg4tTfXrHo+UuXLrUjHKWUskVdXR2hlHNr9ExqFmdqW/H7/aSlpfVyZfKJbioftJzpgwtY57ebDMrLy/l4w8fhhQx2/TN0gdVhUVZWZlMDifHxxx/T6fczawD3EIRZlsXabdtoaGigsDDe5RD950oPnIjki8jLIrJfRPaJyFUiMkJEVonIwcjngsi5IiJLRaRCRHaKyOXd7rMkcv5BEVnixnNRSqmhrLauDqt7Ahd5PBj3RI0mnF0OFbPtiiSK6enpzjQYg1GjRoWL+fptbCQy2FRcXGxjIwO3fPly8j0eJgzwPpcRHp5fsWJFIsKKmVtDqP8LeMcYMx24FNgHPAq8Z4yZArwX+RpgETAl8vEQ8BsAERkB/ACYD1wB/CCa9CmllEqMpqZmTMq50hnRx83NzW6FFLdoIuUPOdMD1xWZ+pZMPZV5eXnhB102NtJ1QVtJ6MiRI2zdupW5loVngF2RRQgTEP7w6muO7srgeAInIrnAdcDTAMaYLmNMM3AXsCxy2jLgC5HHdwG/M2EbgHwRKQFuA1YZYxqNMU3AKuB2B5+KUkoNacFgkPa2MxjfuQTEpISToMGcwHU5lMBFE8WMjNhrx9nt7HCunb2QkXv7fMk7S+s///M/SRHhswm639UYauvrWL16dYLu2Dc3euAmAnXAf4jINhH5dxHJAoqNMScAIp9HRc4fCxzrdn115NjFjn+KiDwkIptFZHO0ErdSSg0Gbr5+RffwNL5zQ4DRZM6t7YMGIjU1FXBuCDUQGUKNtpsMoqVUbH33j9w7WffMPXnyJH9ctYq5xpCVoImAU4FR4uG5Z589u9rZbm4kcD7gcuA3xpjPAG2cGy7tSU//uhebftnj2iJjzFPGmHnGmHlFRfGW61NKKee5+fp1tgCt91wCYiKP3d6gPR7RRCrg0CKGYBL2RJ1NvO1cVxG5d3Tni2Tz3HPPYSyLBQm8pwfhemNxpKqKDz/8MIF37q1N51UD1caYjZGvXyac0J2KDI0S+Vzb7fzuxVVKgZpejiullEqAaAJnvN3e7SMJXLLsLtAfTlfKj/YoeDzJU7GrpqYG8QrYua4isuYlGQs+nzhxgrffeou5xpCX4GW4s4Ei8fDM0087UvvP8d8qY8xJ4JiITIscuhnYCywHoitJlwCvRx4vB/4sshr1SuB0ZIh1JbBQRAoiixcWRo4ppZRKgOjWU6ZbDxweL4jn7PcGE2McKgCXxCorKyEHe6sZp4Inw8Phw4dtbCQ+y5YtA8viehvu7UG40VhUHT3qyFw4t/p1vw38XkRSgUrgm4STyRdF5EHgKHBv5Ny3gc8BFUB75FyMMY0i8k9AdG+mHxpjGp17CkopNbSdG0I9f7xNfKmDMoHz+8O1M1K9Tm2ldX67bguFQuzavYvQaPt7h0IjQmzbvs32dvqjurqad955h/nGkGtTBjsLGC3CM08/zY033mjr8LkrCZwxZjswr4dv3dzDuQb464vc5xngmcRGp5RSCroNofoumITvSx2UQ6jRpDPdoQQuI7KZfbLMF9y7dy8d7R3EvXN7P5hRhtpttRw9epTx48fb32AMnn32WbzGcG2M57+NIToI/DSGEuBzfSR+HoQbjOH5mhpWr17NwoULBxJyr5JnZqVSylH93c83XgcPHgT6v3tJfzmxb/BwE53wft4QKmB5UgflKtTGxvAgTV6qMwlcbmp4FUOylFxZvXo14hVMif3P34w1sA3ef/99lixxv87+yZMnWblyJfONISfG3rcTnKt3fKQfbc0g3Av3u2XLuOWWW2ybA6kJnFLDVEVFBfu3b2e0ze1EX7qat2+3rY2Ttt15eDt9+nT4ge/8QrSWN42mJElK+qO2Nrw2riDNmTIPeakGr5AUe8d2dnbyzsp3CJWE7F2BGpUBjILlbyzna1/7muv7wb700ktgGa5xoC0PwgJjePnYMTZu3MhVV11lSzuawCk1jI0GHrR1NrMznu65gpAaoMbGRiQ1A+T8HgQrNYOGhsE35bi6upoMnzjWA+cRGJUJx44d6/tkm7377ru0nWnDzHPu/0poUoi69XWsWbOGG264wbF2L9Te3s6by5czm8SvPL2Y2cAqj4cXX3jBtgQuedY2K6WUSip1dXVn9z7tzqRk0dTY4EiphEQ6VFHBmKwgTlYTGZPZReWhg8412INAIMCy3y2DEcBIBxseA5Ij/HbZbx0rbtuT1atX0+H3M9/BNr0Icy2LLVu3UlNjT4UzTeCUUkr16Fh1NcHUnE8dN+k5hEIhBtPONpZlceDAAcpzAo62OyEnRPXxE64uZFi+fDl1tXWEZoXsLR9yIQ+EZoSoPFTJ+++/72DD53tnxQqKxHNe4VgnXE74n/udd96x5f46hKqGterqajgNng8G+d8yzVBtqt2OQg0hwWCQEydOYBXN/NT3rPRcAI4ePcro0XbPokyMw4cP097RweRcZ3sNJ+eFt5Pas2cP8+c72QcU1tLSwtPPPA3FhD/6IxDex3Xx4sW89dZbtAf6XzrGjDfIQeFXv/4VCxYsIC0tre+LEqipqYldu3dzgzGIw9NF8hDGA2s++og///M/T/j9B/m7llJKKTtUVVURCgaxMkd86nvRY4cOHXI6rLhtjyyimV7g7P6ck/ODeOVc+0576qmnOHPmDKFL4uh9C8DixYt5+OGHWbx4McTTeSkQvDRIfV09zz33XBw3GJgNGzZgjGGG4y2HTcdwqLLSloUs2gOnhrXS0lLqpA7rBvfmZySC5wMPpWNL3Q5DDSH79u0DwMrqYdKULx1Jz2Xv3r0ORxW/LVs2U5QJRRnO/l9P98LEvBBbNm+Cb33L0bb37t3LG2+8gTXZgvw4bpACb731FhD5HG/nWRFY4y2e+/1zLFy4kHHjnBvM3LFjB5keD8UuzcGbGPm8a9cuiov72wXaO+2BU0op9Sm7du1CUtIx6Xk9fsZjkJUAACAASURBVD+QVcSOnTsHxfZUwWCQrVu2MrvAnR0RZhd08cmBg+fKsjggGAzy+M8eh3Qws+L8GaVAR0cHL7/8Mh0dHQMqP2IuNVgeiyeeeMLR35ndu3ZRall4XFptXwykibB79+6E31sTOKWUUucxxvCnTZsI5JRwsSWbodwxNDc1JeV+lxfau3cv7R0dzBnh7AKGqEsKAxhj2LJli2Ntvvrqq1QeqiR4WdCZum99SYfQ7BDbtm1j1apVjjQZCASoPn7c9lqXvfEiFIEt/080gVNKKXWeyspKGurrCeWNveg5obzwkP369eudCitumzZtwiMwa4Sz89+iJuaGyEoRNm3a1PfJCdDQ0MDTzzyNGW3g4j9Cx5mJBgrhyV896chWbDU1NViW5cTOYb0qMoajR44k/L6awCmllDrPhx9+CECw4OJ7WJq0LEx2ER9Ezk1mWzZvYkJuiKwUd4Z7vR6Ynu8Pz4NzwNNPP01nZyfWZZazZUP6IhC6LERzUzO///3vbW+uvr4egJ4nATgnD2hqbiYYTOwfELqIYZirrq6mrdXLjzZnux3KgFW1esmq1lIaSg2EMYZ3V63Cyi2BHor4dhcoKOeT/Zs4fvw4Y8cmUVdPN52dnezbv5/PjeuK6/qOoJxXSqMjzjfhWQVBthyo5dSpUwmfzN5ddXU1b7/9NqGJIfh0CT/3jQBrnMVLL7/EvffeS0FBgW1NRRM4t/8ZcgDLGJqbmxk5MnGVlLUHTiml1Fl79+6l5vhxAoWT+zw3WDgJgJUrV9odVtz2799PKGQxNT++xKs9KOeV0mgPxtelFW1/165dcV0fqxdffBEjBjM9eReXmFkGf6ef1157zdZ2WltbgfC2rG6Ktp/oYs7aAzfMlZaW0hk8wffnuVclPFF+tDmb9FItpaHUQLzxxhuIN4XgiAl9nmvSsgnljeWNN99kyZIlrm9Y3pMDBw4A4Xlo8cj0mfNKaYzyxZcYjcsOkeIJx3PLLbfEdY++dHZ2svLdlYTGhtzPWnqTA2a04Y0337D19yY6z87Z0sGflh75HE0oE0V74JRSSgHhN5g/vvceXSMmgi81pmsCo6bTUF/Phg0bbI4uPpWVleSlx7+BfYbPnFdKIyPOBM7rgTFZFpWV9hU/3r59Ox3tHZiy5O19izJlhob6Bg4etG+f2M7OTrwi+FyeCBhdBOz3J7aMjSZwSimlAHj77bfp8vsJFsdetz6UX4akZfHyK6/YGFn8Tp06yag0d1afXmhUepBTJ07Ydv9du3aF39Wd3LA+TqYonGTu3LnTtjY6OztJuUgZHCdFE7jOzs6E3lcTOKWUUoRCIV5++RWsnOKed1+4GI8Hf9F0tmzezBEbSiUMVH1dHfmpzu5/ejH5aRYNjY223f/UqVN4Mj2DY3JUBohPqK2tta0Jv99PbP3I9rKrB24w/JiVUjaorq6mFXia5B9u6csJ4IyuQB6QdevWcerUSbom39zvawOjppNWs4OXXnqJ733vezZEF78uv580b3L8jqd5wd8V32rYWHR0dGCS5LnGQlIkvMODTfx+/4CSnE44bwVyZ5yxagKnlF2aw3uJ2ia6PsTOSi3NJFXBTjX4vPjSS5CeQ2hEWf8vTsmgq3AS76xcyUMPPURentuVt86xjJU0Y00iBmPZl2AVFBQgne4PGcbEAqvTsrWMSGdn54B64Drh7ApkgD++/HJc94nGkOhkNaYETkS+Y4z5X30dU2qwmTy571IJAxWdpDtl7BT7Ghnb/+dSWlpKc309DyZVpc/4PI0hf5CtQE6m19WDBw+yc8cO/OOvAIkv2wmMnkWg7hPeeOMNvva1ryU4wvhlZ2XTcSY5fsfbAx6ysuxbHjp+/HgsvwXtQO8l/Nx3GjDhmO3S0dFBygAS5nQ4bwVyvH+WRHvgXEnggCXAhS8q3+jhmFKDSvQvKyfaWLp0qe1tqUElaV5XX3311XDpkKJpcd/DZI4glDuGV1/7A/fffz8+X3IM8BQUjqSx0b6Vn/3R5Bfy8+3rcbrqqqt48sknkWrBTE3uoVSpFkSEK664wrY22s6cIQ1DvNtRpAMnIyuQIbwxfTxSCHcCt7e3x3mHnvX6p5aIfEVE3gAmiMjybh/vAw0JjUQppYaBZHtdbW1t5d1VqyKlQwZWMStQPJP6utqkKilSVlZGTZsPkwT5TE1HKuUTJtp2/3HjxjFl6hS8lV6wBn4/k28wKZGPIoPJT9A/YhC8R7x89rOfJT8/PzH37EE4gXOfIKR5PI4X8v2Y8PzgkcDPux1vBexb+6uUUkNXUr2urlq1ikBXV79Kh1xMqGA8kpbFG2+8wYIFCxIQ3cBNnjyZzqChpt3D2KwEZDVxOhMQTrXBYpunbXxjyTf4x3/8R6RKMBMGlnCZywzSHO69sm5I3L+dVAim07BkyZKE3bMnra2tjLK1hdhl4PBODMaYKqAKuCqhrSql1DCVbK+rb69Ygckq7F/pkIsRD/4Rk9m4cSONjY2MGDFi4PccoMsuuwyAvY0pjM1K7CrA/tjf5MN0i8cuCxYsYObMmezbtY/gmKD72xBcqA28+7xcefWVzJkzx9amzrS1nd0FwW3pxrizE4OI3C0iB0XktIi0iEiriLQkNBKllBpGkuF19dixYxz45BO6Ytj3NFbBkZOxLIvVq1cn7J4DMWbMGMaUjGZrfUrfJ9toS10KWZkZzJw509Z2RIRHH30UT8iDZ4uHpKoSZMC72UtaShqP/N0jtjbl9/sJBINJlcC1JbgHLtblRo8DnzfG5Bljco0xOcaY3IRGopRSw4vrr6sffvghAKEY9j2NlcksgKwRZ+/tNhHh+htuZG9jCq1d7qxGDViwtSGdq69ZQEqK/YlkeXk5D/3lQ8hxQSqSYwUugOwRqIW/+9u/o7g43iUBsYkOVybLlrDpQGtLYv8+izWBO2WM2ZfIhkXEKyLbROTNyNcTRGRj5C/SF0QkNXI8LfJ1ReT75d3u8d8ixz8RkdsSGZ9SStks4a+r/bV27VpM9khMWmKLFHbll7Fz505aEvyGFa+FCxcSMrDupDt1+bfUpdDWZbjtNufepu6//36uuvoqvDu9UOdYsxdXA559HhYtWsSiRYtsby5asiMZdmKA8Eh2osuIxJrAbY4kUV+JdPvfLSJ3D7Dt7wDdX7x+CvzCGDMFaAIejBx/EGgyxkwGfhE5DxGZCdwPzAJuB34tIt4BxqSUUk6x43U1Zq2trezbt49A3riE3zuUV4oxhi1btiT83vGYNGkSM6ZPY/XxDFdWo64+nk5x0Ujmzp3rWJsiwvf/8fuMGTMG3wYftDnW9KedBt+ffEydNpVHHrF36DQquuuBuwPn56SQ+L1QYy3Uk0u4NODCbscM8Go8jYpIKbAYeAx4REQEuAn4auSUZcD/B/wGuCvyGOBl4MnI+XcBzxtj/MBhEakArgDWxxPTcHb0jJcfbbZzmwA41R7+W6E4075VYEfPeJlq292VSriEvq72144dOzDGEMpN/BYeVnYR4ktl69at3HjjjQm/fzzuvudLPPbYY+xu9DGn0LnN7Y+2etnb6ONb37oHr9fZPoacnBwe/+nj/OVDf0nHug6CNwadz2g6wbfOR152Hv/82D+TlubMqopQKLz/bZJswoEHsBL810OsCZwH+I4xphlARAo4f/l7f/0r8F+BnMjXhUCzMSb6v6qacxsDjQWOARhjgiJyOnL+WKB7saHu15xHRB4CHgJ7qz4PRk7sRADQFdmNIL3cvt0IpuLc81EqAWJ6XbXr9WvXrl3g8WJlJ2D16YXEQzBrFNt37Ej8veN044038ptf/4q3qoLMKUzsasDerDiaRnpaKnfeeadjbXY3btw4HvvRY3z377+Ld4OX0DUh57KaEHg/9uIL+Hj8F48zapRzRT1MMhT+u4CxEtuBEWsCd0n0RQbAGNMkIp+Jp0ERuQOoNcZsEZEbood7ONX08b3erjn/oDFPAU8BzJs3L/l+qi5yYieC7u3obgRKnRXT66pdr1979+7FyiwEjz07JoSyizhatZ329nYyM93f1yk1NZV77/sy//Zv/8bhFi8TckO2t9nQKXx8Mo0v3H0nubnurfubO3cuf//dv+fxxx9HtgvmMybezQliZ0D+JEij8IN/+gHTp0+3ucHzRXv6nOtr7V0QSE1w72Osebgn8tchACIygtiTvwtdA3xeRI4AzxMeOv1XIF9EovcsBWoij6uBcZF2fUAe0Nj9eA/XKKVUskvk62q/WJbFJwcOEMostK+NrCKMMVRUVNjWRn/dddddZGZm8MaR2ItLlOWEyPBaZHgtpucHKMuJPfF7uyodPB6+/OUvxxNuQt1xxx185StfwXPI48jKVNkjeKo9/Jf/8l+47rrrbG/vQhkZ4fWn7lX+O18n52JKlFgTuJ8DH4vIP4nIDwlXEn88ngaNMf/NGFNqjCknvAhhtTHmAeB94EuR05YAr0ceL498TeT7q024b3Q5cH9kleoEYArwp3hiUkopFyTsdbW/Tp48SWdHB1aWjQlcZriI76FDybEPKUB2djZ3330Pm2pTqWmL7e3v69M6KMsJUZYT4vvzzvD1abGtJGzpEt6vyeDWWxcyevTogYSdMN/61rdYsGABnh0eOGlfO3JU8OzzsHjxYu6//377GupFtIh0cqyDDm+zUlRUlNB7xvQbbIz5HXAPcIrwguS7jTHPJjQS+AfCCxoqCM9xezpy/GmgMHL8EeDRSEx7gBeBvcA7wF8bY+zvE1dKqQRw6HW1R5WVlQBYGfZtrG5SsxBfGocPH7atjXjce++9pKSk8FaVvSVeVx5NI2AZvvrVr/Z9skM8Hg/f//73mThxIr6NvnBWkWhN4WK9c+bM4ZFHHiG85tB5KSkpFOTnc9qV1j/ttMfDqATXvou5u94Ys5dwspQwxpgPgA8ijysJryK98JxO4N6LXP8Y4ZWsSik16NjxuhqLqqoqAKwM+zYSR4RQeh5Hjhyxr404FBQUcMedd/L6H17l7okdFKYnflp0RxD+eDyDa6+9jvLy8oTffyAyMzP58T//mAf/4kHa1rcRvCmYuIF7P/jW+ygcUchjjz3mSNHi3kyYMIFT27e7vhtFJ4ZmyzBhQuIKZoND8y2UUsnpJPC0za9uDZHP9g3WhZ+HjanIkHPs2DEkLRN89pZ0CGXkc6TqqK1txOPLX/4yf3jtNVYdS+f+KYktrgrwYU0abQGSqvetu5KSEn74P3/Id7/7XWSLYK5IwKIGA94/efH4PTz2L4+Rn+/+/8jJU6awa/t2ghh8tq/auLgTkc+TJk1K6H01gVNqmHKq5EpdpIRM/hT7SsjkoyVk+uPosWOEUu1fFWnS82g+doC2tjaysrJsby9WJSUlXH/DDaxe+wFfmNBBegLfCS0DK6szmTNntu37ng7EvHnz+OY3v8kzzzyDVWxhygf2h5wcEDgJ33nkO8yYMSNBUQ7MnDlzePHFFzkOlLkYxxHChZVnz56d0PtqAqfUMKUlZIavo0ePEUqPvSZXatV6PO3hvtT0vW9iZRXSVXZVn9dZ6eEk8fjx40ydmlxltr/0pS/x/vvvs+5kKjeXdiXsvtvqU6hrh2/fe1/C7mmXr3/962zdtpUd23cQHBmEeOu5N4F3t5frrr+Ou+66K6ExDsRll12GiHDIGFcTuEMIkyZOJCcnp++T+0ETOMJvLHYvdT8Y6YVw4k1z8uTJjr05K6UGl7a2NlpON2PGxd4j6mlrQEIBALytsS9fNGnhBK66ujrpErjZs2czZfIk3jt+kJvGdpGoufarq9MYWTiCBQsWJOaGNvJ6vfzj//uP/NmSP6NjUwehG0L9H0oNgW+Tj/z8fL73ve+5tmihJ3l5ecyeNYv9e/ZwUxwdjCWcG/4siXz01xkMR4El114bx9W90wQOqKioYNuuvWeXvdtBusK/PVsO2bh2G/C0N9p6f6XU4Hb8+HHgXO+YnaJt1NQkX4lOEeGOOz/PL37xC460Jqawb0OnsKsxha99/Q58vsHx9lpcXMzffudv+fGPf4wcEszk/mU6sl8wpw2P/vRRV4sVX8z1N9zAk7t3Uw+M7Gd2+jmEE5E5wg/GOYduL+E1FHbUwhscv2EOsDJH0DnzDrfDGLD0vW+6HYJSKolFE7ho75itvClIWibV1dX2txWHW265hSd/uZR1J1KZkDvwxQzrT6ZiGVi0aFEConPO7bffzqpVq9iyYwvBsUGItd5sK3j3e7np5pu46qq+h9TdcNNNN/HrX/2K7cZwiwvtbxdhwvjxCV/AAMmzz6tSSikHONkDBxBKzeFYkiZwOTk5zL/ySjbWpWMlYDH2htp0pk+bytixPW7LnbREhEceeQSP8SC7Yu9p8uzwkJaWxt/8zd/YGN3AjBw5ks9+9rNs83gIOVxP5BSGY8Zw++c+Z8vQsiZwSik1jJwtIeJ1pkZXKD2Po0ePOdJWPG644UaaOuFwi3dA92noFI60eLjhxpsSFJmzSktL+fJ9X8ZT5YHmvs/nFMgJ4Zvf+CaFhXYWCRq4z991Fy2WxScOt7sJSPH5bOuR1QROKaWGkaqqowRT8xxrz6Tncbq5iTNnzjjWZn/Mnz8fjwjb6geW0G6PXH/11VcnIixXPPDAA2RlZ+HZ3UdqYMC7x8vIopHcfffdzgQ3AFdffTWjRo5ko4O14DoxbBfhxptusq0mniZwSik1TBhjOHzkiL07MFwg2lay7cgQlZeXx7Tp09jTlDqg++xpTGFUUSFlZW4WrBiYnJwcHvjqA8gJgaZeTqwFGuCb3/gmaWn2FoNOBK/Xyz333ksl5uyiBLttAfzGcO+9PW4klRCawCml1DBRW1tLR3ubrXugXijaVjJtan+hyy+fS+VpL51xLkQ1BvafTuMzl89LqjIa8bjrrrtIz0hHPrn48/B+4qWgsIDbbrvNwcgG5o477iA9LY11DrQVwrDB4+HSOXOYNm2abe1oAqeUUsPEgQMHALCynJuzZNJyEF/a2baT0ezZswkZONISX2GG2g4PLX6T8Er7bsjJyeHOO+7Ee9wLnT2c0Aqcgnu+eA+pqQPrtXRSTk4Od37+8+xCOG1zL9xuoNmy+MoDD9jajiZwSik1TOzZswc8HqxMByedixDMGsnu3Xuca7OfolteVca5kCF6XbJsITVQn//85zGWQao+3QsnhwWP18PixYtdiGxg7rvvPvAIH9vYhsGwVoTx48Zx5ZVX2tiSJnBKKTVsbN22DSurCLzOlgAN5YzmyJHDtLS0ONpurAoKChhRkM+xM/ElcEfPePF6PUyYMCHBkbmjrKyMqdOm4q2+4N/DgLfay2fnfTbpV572pLi4mJtvvpnNIrTb1At3EDhpDA987Wt4PPamWJrAKaXUMNDc3Mwn+/cTzB3jeNuh3LEYY9i4caPjbcdq4qTJVLfFtxL1+BkvpWPHkpLiTGkWJ9x8082YRgPd5wU2g2kz3HTT4CyVAvDVr36VLmP4k033X4NQVFjILbfYXzZYEzillBoG1q5dizGGUIHzqySt7CIkNZOPPvrI8bZjNX78eE52eDFxdMyc7EylrHxo9L5FnR3+6zp3TE6Gh1Tnz5/vQkSJMWnSJK6cP58NHg+BBPfCHcNwBMOXv/IVR5J5TeCUUmoYWLHiHcjId3b+W5QIXSMmsHbduqQdRh0zZgwdAcOZQP9WkVoGatsZdLsv9KW8vJyCEQUQOHdM6oSy8jJGjLBv33AnfPWBB2izLLYm+L5rgOzMTO64w5ltOTWBU0qpIe7QoUPs2rWTrpFTwKUyF8GRUwkFg7z11luutN+X0aNHA1DX2b+3xdNdQtA6d/1QISLMmT0HiSa0BjxNHi6Zc4m7gSXApZdeyswZM/jY48FKUC9cPYb9wBfvuYfMzMyE3LMvmsAppdQQ98ILLyDeFAKj7KtJ1RcrqxArt4QXX3qJQCDQ9wUOKy4uBqCxnwlc9PxRo0YlPCa3TZ06FSzCH+1guoytdc2cIiJ89YEHaLQs9ibonh8DPp+Pe+65J0F37JsmcEopNYQdPXqUd999l66iaeBLdzWWrpJLaaiv580333Q1jp5EV1U2+fuZwEXOHzlyZMJjctvZVbUhoOWCY4PcNddcw9iSEtaKYAbYC3cmsm3W7YsWOTq8rAmcUkoNYU899RRGvHSNudTtUAjljcXKLeGZ//gtbW1tbodznoKCAjwiNHf1b4j5dOT8wVhWoy9jxkRWLIdA2uT8Y4Oc1+vlvvvv57gxHB3gvf4EBGzeNqsnmsAppdQQtWXLFj766CP8JZdASobb4YAI/nFXcLq5iWXLlrkdzXm8Xi95eTmc7mcPXPR8uzYsd1N0WDk6hOr1eikocG4bNrvdfvvtZGdlDaiwbwDDJo+HK+fPp7y8PFGhxUQTOKWUGoL8fj9P/PznkJ5LoGSO2+GcZWUXESiayosvvZR0+6MWFIygtZ+rUFu6POTmZOPzOVsc2QlZWVkghBM4P+QV5NlenNZJGRkZ3PWFL7APaIpzGHUXcMayuO/LX05obLEYOj8JpZRSZz333HMcr66ms+xq8CRXctE17gqMJ5Wf/vRxQqE4d5C3QcGIQk539W83htNdMqR6pboTEXxeH1ggXUJebp7bISXcF7/4RcTjiauwr8GwQYTysjLmzp2b8Nj6ogmcUkoNMYcOHeLZ554jWDiZUH6p2+F8Wko6HePns3//Pl555RW3ozlrxIgRtAT6l8C1BDyMKBx6CxiiPF4PGCAAOdk5boeTcKNGjeLaa69lSxyFfY8BJ4zhni99CXGhPI8mcEopNYQEg0H++cc/wXjT8JfZu5n2QIQKJxHKH8+/PfUUNTU1bocDhBO4Zj/92o3hdMA36Avb9sbr8YIBCQkZGUkwj9IGX/ziF+mwLHb387o/ARnp6dx66612hNWn5OpXd0l1dTWe9tOk702+pe395WlvoLo66HYYSimXvPLKKxw88Amdk2+ElASVDQl1kZGRweLFi3nrrbc4E+rq+5q+iOAvvwbf7ld4/Gc/4xf/8i+u9GJ0V1hYSFcI2oNCVkrfWZwx0OyXIVlCJCo6500sITU11eVo7PGZz3yG8aWlbD5+nM/EmLy3Y9gjwh233+5Y4d4LOd4DJyLjROR9EdknIntE5DuR4yNEZJWIHIx8LogcFxFZKiIVIrJTRC7vdq8lkfMPisgSp5+LUkolk9raWv7Pv/87ofxxhEZMTNh9JdjF4sWLefjhh1m8eDESTEACB5i0LDrHzmPrli289957CbnnQBQVFQHQ5I8tkWwPCv6gGdIJnIggRhBLHNnf0w0iwh2f/zxHjaE2xmHUnUDQGO688057g+uFGz1wQeC7xpitIpIDbBGRVcA3gPeMMT8RkUeBR4F/ABYBUyIf84HfAPNFZATwA2Ae4RH6LSKy3BjT1N+ASktLOeX30TnTmf3L7JS+901KS4fWli5Kqdj85je/IRAI4Z9xdUK3zDK+1LNbYL311lsYX+KG0oLF00mtP8Avn/wVV199tWu9GXBuN4WGTg+l2Vaf5zcM4V0Yos72iloMyZW2Ubfddhv/9r//N1sti9tjOH+bCFMmTmTKlCm2x3YxjvfAGWNOGGO2Rh63AvuAscBdQLQw0DLgC5HHdwG/M2EbgHwRKQFuA1YZYxojSdsqiOnfXSmlhpyDBw/y3nvv4R89G5OW4Mnm3lQ6Ojp4+eWX6ejoAG8Ch9LEQ2fZlTQ1NvDqq68m7r5x6O9+qHUdnvOuG4rOJnAmXAduqCooKOCK+fPZFcP+qLUYaozhtkWLHIquZ64uYhCRcuAzwEag2BhzAsJJHhD9k2Ys4cUeUdWRYxc73lM7D4nIZhHZXFdXl8inoJRStor19eu3v/0tkpJGoGTwbTZu5YwmlD+O//y/z4cTRJcUFhaSkuKjtj22RKU2ksCVlJTYGZb7TPhjKNWA68nChQtpsSyq+jhvJ+AR4eabb3YirIty7achItnAK8DfGmNaeju1h2Oml+OfPmjMU8aYecaYedE5DkopNRjE8vpVX1/P2rVr8Y+cDr7BOdG8q+QSzrS28NFHH7kWg8fjoXTsWE60x/bWeKLdS052Fnl5Q68+WlT3HrihnsBdddVVpKak9LnB/V7xcMkll7i+fZorPw0RSSGcvP3eGBPtMz8VGRol8rk2crwaGNft8lKgppfjSik1rKxevRpjDMFRU90OJW5WzmjIyGXlynddjaOsfAI1HbElwTXtXsaPL3N99awjhvgQKkBmZiZXXHEF+zyei25wX4+hzlhcf8MNzgbXAzdWoQrwNLDPGPMv3b61HIiuJF0CvN7t+J9FVqNeCZyODLGuBBaKSEFkxerCyDGllBpWtm/fDhl5mPRB3BMkQiC3lF27dhEMulcKqby8nNo26OpjgwhjoLothYmTJjkTmEuGUw8cwNXXXMNpy+LURb5/MPL5qquuciqki3Ljp3EN8HXgJhHZHvn4HPAT4FYROQjcGvka4G2gEqgA/g/wVwDGmEbgn4BNkY8fRo4ppdSwcuBgBcHMwV/Kwsoqwu/vdLWw76RJkzDAsTO99zY1+YUzXYaJExNXriUZRRM4Y8yQ74EDmD9/PhBOOHpyEBg3dixjxoxxLKaLcXxNsDFmLT3PXwP41IxAY4wB/voi93oGeCZx0Sml1ODT2tKCyXV3Pk4imEjh4ZaW3qZF2ytaFuJIq5dJeRfvhjvS6jvv/KFKRMKzy63h0QNXVFTE2DFjOFJTw4ILvhfCcFSERZ/9rCuxXWjo/zSUUmqI8/q8YJJnU/i4mXDtNTd7ekpKSsjJzjqboF3M4RYvIsLkyZMdisxdxjJDug5cd5+5/HKO9lBO5CTgN4ZLL73UncAuoAmcUkoNcsXFxYj/jNthDJh0tgLh5+NaDCJMnzGDQy297zpQ2eKjvGy8q4WHndC9B264JHAzZ86kw7K4cE7W8W7fTwbD46cRA097o617oUpneEjApOfaodz6cgAAEj9JREFU1gaEnwcM3aKSSqlPu2TOHCqXv4nfCoJn8L6s+1qOUzy6hIKCAlfjmDFjJls2b6YzBOk9dAYaA5WtqVw7f5bzwTnsbALH8Engpk+fDpxL2KJqgLycnKQp3Dw8fhp9cKIL/ODB8F+WUybZ/YMfPWy69JVSYQsWLOC1117D23iE0MjB+f9futrxtdRw/cJ7XC/LMWvWLCwDh1t8zCj49IrYUx0eWrsMs2YNkwQuYqjuhXqhsrIyvB4Ptdb526mdEmHS5Mmu/35GaQIHPPzww461sXTpUtvbUkoNL3PnzqWsrJyqEztoK5wIMvhmx6Sc2IlguPvuu90O5ewQ2cHT3h4TuIPN4bfO4ZDAdV+4MFwSuJSUFErHjqX22LnNngyGOoQrJkxwMbLzDb7/5Uoppc7j8Xj45je/Ae1N+E71VUe+/6ysQow3BeNNIZQzGisrsStepb2RlNq9LFy4MCnKM+Tl5TFu7Bgqmnvu46g47SMzI4Py8nJnA3NB996m1NTBuctHPMaVldHULXltI7yAYdy4cRe/yGGawCml1BBw4403csX8+aRXb0E6Tif03l1lV2FlFmJlFtI58w66yhJYxNQKkXF4DTnZ2fzVX/1V4u47QLPmXEJFaxqmh4L8B1tSmDlr1rAoq9H9OQ6nBG7MmDE0dvvhN3Y7niyG/m+fUkoNAyLC9/7+78nOyiCz4o8Q6nI7pJikVq1HztTxD//1v5Kfn+92OGfNmjWLFr85u2F9VGcQjp3xDIvhUxi+PXCjRo0iYAzRWXCnux1PFprAKaXUEFFcXMwP/+f/RDqaSa94Hy6YhJ1sfCd3k1K7nwceeIDrrrvO7XDOE50Hd6jl/GWolS0+jEmeUhJ2G45z4OBcohadAdka+VxUVORKPD3RRQxK9cPSpUupqLjYJis9O3gwvHtefxfLTJ482ZEFNmpomTt3Lo888gg///nPST28hq6J10GSrJrrzltfQVrVBq697jr+4i/+wu1wPmXChAmkpaZw6PT5b5OVkYRuxowZboTluO49cGlpaS5G4qxoKZtoeexWwmVUcnJyXIvpQtoDp5TNMjIyyMjIcDsMNYzcdddd/Pmf/zkp9QdJPbKOHidyucjbUEl65Ydccuml/I///t+Tco9Nn8/HlClTqWw9v9epssXH6OJRSTXca6fuc76GUw/ciBEjgHMJXBuQn5ubNCVEQHvglOoX7RFTg8WSJUvw+/38/ve/B6Cr/Jqk6InzNlSSfuh9Zs2axeM//WlS9+pMmz6dNz/Zy4Tsc/MJq9pSmT5vePS+AXzhC19gw4YNwPDqgcvNDRfdj05C6CC8OjmZaAKnlFJDkIjw0EMPISI899xzYIXomnitqzXifHUHSDu8htmzZvPEEz9L+m2opkyZgj9o6LKEVI+hPQin2uDzU6e6HZpjuidtwymBy87OBs5P4AqSLIHTIVSllBqiRIS//Mu/5MEHHySl/iBpFavBcmfTe9/JvaRVfsTll1/Oz3/+RNInbwCTJk0CwB8K91xWnwkP9Q6n3W66rzwdTgmc1+slIz39bALn93iSav4baAKnlFJDmoiwZMkS/uZv/gZf4xHSD7wLoYBzARhDyvFtpFV9zNXXXMNPf/KTQTMntLy8HI8I/kjOeyySwA2HAr5R3RO44VRGBCArM/NsAteJkJWV5Wo8F9IhVNVvTq3E1FWYSiXOfffdR3Z2Nj/96U/J+OQdOqYuBJ/NPSrGkHr0T6Sc3MXChQt59NFHB9WG6GlpaZSUFNNSVwNATZuX9LQ0iouLXY7MOcN1CBUgKyuL9sZwCV8//3979x9jVXnncfz9vXfu/AKZCwyWwWGoQdEFdKcBaSfYOG2WUVC31UasLmZsZ6ey2Zo28fekbWLCtmkV05Rssqm7XSdp02YT/WNTYZW2WrtNi7/BuoAgQmRlhZmigqPDwP3uH/dcHJkpCsyc55w5n1dCvHfmcOf7yMwzn/t9zjmPJy7AqQMnsdCVmCLhrVixgnvvvZfCQB/129bD0Hvj98W8RPVr/03h/17immuuoaenJ1XhraJlzrmAMeesY+wbyDN7dnMmdmCoyHIHrn7SpA+WUEulxC37p++nSYJTV0wkvdrb26mvr+eenh5s23oGLliOV4/xLyYvUb3rKQp9O1m1ahXd3d2Juv3CqWhubub5p3Osmvcet/9xKvNnt4QuKVbDu25ZDHAOOOWLGZLWhFCAE5GPTcvnE8OSJUtYe//93HHHnbDtUQYuvHLsQpyXqHn1Sar6d9HV1UVnZ+fYvG4gs2bNYvCYc3DQ6BtI1l6YcRge2tLYQT0T9dE5cJUuXNICXHb6wCIShJbPk6m1tZUHHlhLTWmQ+u3rYWjgzF806rxV9e9i9erVqQ9vADNnzgRg59tVHHNoamoKXFG8stZ1G66uro4c0Bg91xKqiKSWumITy0UXXcR99/2A226/nfrtjzFw4ZVQdZq/sN2p3v0HCn076erq4sYbbxzbYgOpXLDwSrSlVpI2M49DlnZfOFFtbS2FXI6lpRIvRM+TRB04EZEMa21t5Xvf/S7599+ibsevTvs+cYU3XqSwfys33HDDhOi8VTQ2lvsvu6IAl6TNzOOQpQs2TlRXV8cRdyr7cKgDN0Gc6rlA2tBcRJJqyZIl9NxzD2vWrKF69+85cu5nT2nbrXz/Lqr3PseyZcu45ZZbxrHS+DU0NFCVz7PnUHk/2enTpweuSOJSCXDvD3ueJNmN1jHTeUAikmQdHR3cdNNNFA68QtWbW0d8vjRpOqVJI8OLDfyZutd+x/wFC7jrrrsmXMfGzCgWpzBYMnK53PE9MmXiq3TcDkfPk/Y7XB2406SumIhMNF1dXezYsYNNT29i4KxPfCiwHZnTNvIvHDtK/atP0DBlMv+0Zs2EPeG9WJxKX/9BGqZMnnABVf6ySmA7dMLzpNB3ooiIAOXznXp6eig2NFC368mPPB+u+vWnYeAg3/7Wtyb00mJDcSoAU6YkazNzGV8nduCSdg6cApyIjKu+vj5uvfVW+vv7Q5ciH0OxWOTuu++CgYMU9m35i8flDu+n8OZWrr32Wi655JIYK4xfZRNzBbhsqXTc3jnheVKkPsCZ2RVmtt3MdprZ3aHrEZEP6+3tZcuWLfT29oYuRT6mtrY22tvbqXljM3bk3ZEHuFO7549MnTaN7u7u+AuM2eTJkwGYFP1XsmF4By5nptuIjCUzywP/DCwH5gM3mNn8sFWJSEVfXx8bNmzA3dmwYYO6cCmyevVqcuYU9j4/4nP5g3uww/v5WvffJ26D7/FQ+UWehbHKB4Z34GpraxO3HVyqAxywBNjp7rvc/QjwC+ALgWsSkUhvby/u5dsvlEoldeFSZNasWVx99dUU+ndgR4bt0uBOzb7NzDrnHC6//PJwBcaoEuCS1oGJS0tLCxdffHHoMmI3vANXn7DlU0h/gDsHeH3Y873Rx0QkATZu3MjQ0BAAQ0NDPP7444ErklOxcuVKcKdq/we3FckdPoAdPsD1K1dmZm/MSnBLWgcmLg8++CBr164NXUbsKgFuiOSd/wbpD3Cj/TT5iIPMvmZmz5rZswcOHIihLBEBWLZs2fGteAqFAh0dHYErSp+Q81dzczOLFi2iuv9ViDqpVX07KFRXZ6b7BlBTUwNwvJucNXV1dcf/H2TJ8KtO6xO4fJ72ALcXmD3seTPwxokHufuP3X2xuy/O2jYoIiF1dnYe71rkcrkJtcVSXELPXx3LlsH775B7t6+8Wf3B3Xz20ksTd0uF8ZSVTqN82PAl87oEfr+nPcA9A5xvZueaWTXwZeA/A9ckIpHGxkaWL1+OmbF8+fIJfa+wiaqtrQ0zI//2XnLv9uND77F06dLQZcVq+JsQyY58Pk9NtIKQxDcsqX5b4e5HzezrwGNAHviJu78cuCwRGaazs5Pdu3er+5ZSxWKRueedx/Y33wArB5jFixcHriqMrC6hZllNbS2DQ0OJPAcu1QEOwN3XA+tD1yEio2tsbGTdunWhy5AzsHDBAl597VE8X80nZjYxderU0CXFqhLcsnoRQ5bV1dbyzqFDibwCWf1gERE5qXnz5uFHh6h663UuvGBe6HJip+CWXZXOmwKciIikzpw5c8oPvERLS0vYYgLQ0ml21UbnviVxCVUBTkRETmrmzJnHHzc1NQWsJIyFCxcyaVI97e3toUuRmFVug5TE26ik/hw4EREZX9OmTTv++Oyzzw5YSRhz585l/foNWkrNMC2hiohI6uTz+eOPi8ViwErCUXjLtiR24BTgRETkI1111dWcd975NDc3hy5FJHZJDHBaQhURkY905513hC5BJHaVzmvlXLgkUQdOREREZBSVK5AV4ERERERSprq6OnQJIyjAiYiIiJxEVVXyzjhTgBMREREZReUcOAU4ERERkZTJ5ZIXl5JXkYiIiEiCJHE7NQU4ERERkVEkMbhVKMCJiIiIjCLJO3AowImIiIiMotKBS2KQU4ATERERGcVll10GwIwZMwJXMlLyrosVERERSYDrrruOjo4OisVi6FJGUAdOREREZBRmlsjwBgpwIiIiIqmjACciIiKSMgpwIiIiIimjACciIiKSMgpwIiIiIimjACciIiKSMgpwIiIiIiljSd6odTyY2QFgT6Av3wj0BfraSZDl8Wd57BB2/HPcPXm3UT8NgecvyPb3scaeXaHHP+oclrkAF5KZPevui0PXEUqWx5/lsYPGP1Fk+d9RY8/m2CG549cSqoiIiEjKKMCJiIiIpIwCXLx+HLqAwLI8/iyPHTT+iSLL/44ae3Ylcvw6B05EREQkZdSBExEREUkZBTgRERGRlFGAi4GZ/cTM9pvZn0LXEjczm21mT5jZVjN72cy+EbqmOJlZrZk9bWabo/HfG7qmuJlZ3sxeMLNfhq5FTo/msGzOYZq/kj1/KcDF4yHgitBFBHIUuM3d/wr4DPCPZjY/cE1xGgQ+7+5/DbQCV5jZZwLXFLdvAFtDFyFn5CE0h2VxDtP8leD5SwEuBu7+FPDn0HWE4O773P356PEhyj8I54StKj5edjh6Woj+ZObKITNrBq4E/jV0LXL6NIdlcw7T/JXs+UsBTmJjZp8EPgVsCltJvKIW/IvAfmCju2dp/D8E7gRKoQsROVNZnMM0fyV3/lKAk1iY2WTgYeCb7v5O6Hri5O7H3L0VaAaWmNnC0DXFwcyuAva7+3OhaxE5U1mdwzR/JXf+UoCTcWdmBcoT38/c/ZHQ9YTi7m8BT5Kdc4mWAn9rZruBXwCfN7Ofhi1J5NRpDtP8RQLnLwU4GVdmZsC/AVvd/YHQ9cTNzGaYWTF6XAf8DbAtbFXxcPd73L3Z3T8JfBn4jbuvClyWyCnJ8hym+SvZ85cCXAzM7OfAH4ALzGyvmXWFrilGS4GbKL97eTH6syJ0UTFqAp4wsy3AM5TPIUnc5egiJ6M5LLNzmOavBNNWWiIiIiIpow6ciIiISMoowImIiIikjAKciIiISMoowImIiIikjAKciIiISMoowImIiIikjAKciIiISMoowEnimdkkM3vUzDab2Z/M7HozW2RmvzWz58zsMTNrio7tNrNnomMfNrP66OPXRX93s5k9FX2s1sz+3cxeMrMXzOxz0cdvNrNHzOy/zGyHmf0g3OhFJO00h8l40I18JfHM7EvAFe7eHT1vADYAX3D3A2Z2PXC5u3/VzKa7e3903BrgTXdfZ2YvRa/xv2ZWdPe3zOw2YKG7f8XMLgQeB+ZR3jblO8CngEFgO3Cpu78e89BFZALQHCbjoSp0ASIfw0vA/Wb2feCXwEFgIbCxvE0heWBfdOzCaNIrApOBx6KP/x54yMz+A6hsRn0psA7A3beZ2R7Kkx/Ar939bQAz+x9gDqDJT0ROh+YwGXMKcJJ47v6KmS0CVgDfAzYCL7t72yiHPwR80d03m9nNQHv0GqvN7NPAlcCLZtYK2Em+7OCwx8fQz4qInCbNYTIedA6cJJ6ZzQIG3P2nwP3Ap4EZZtYWfb5gZguiw88C9plZAfi7Ya8x1903uft3gD5gNvBU5Rgzmwe0UF5qEBEZM5rDZDwokUsaXATcZ2YlYAj4B+Ao8KPoXJIq4IfAy8C3gU3AHsrLFmdFr3GfmZ1P+R3rr4HNwDbgX6JzS44CN7v7YLSkISIyVjSHyZjTRQwiIiIiKaMlVBEREZGUUYATERERSRkFOBEREZGUUYATERERSRkFOBEREZGUUYATERERSRkFOBEREZGU+X9bPyGuRJ246QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(10,4))  #axes控制图片展示在哪个子图中\n",
    "sns.boxplot(x='season',y=\"cnt\",data=df,ax=axes[0])\n",
    "sns.violinplot(x=\"season\",y=\"cnt\",data=df,ax=axes[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征工程"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据分离"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=df['cnt']\n",
    "X=df.drop('cnt',axis=1)\n",
    "\n",
    "log_y=np.log1p(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\lenovo\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "day=df['dteday']\n",
    "for i in range(len(day)):\n",
    "    day[i]=day[i][-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "X['season'].astype('object')\n",
    "x_season=X['season']\n",
    "x_season=pd.get_dummies(x_season,prefix='season')\n",
    "\n",
    "X['mnth'].astype('object')\n",
    "x_mnth=X['mnth']\n",
    "x_mnth=pd.get_dummies(x_mnth,prefix='mnth')\n",
    "\n",
    "X['weekday'].astype('object')\n",
    "x_weekday=X['weekday']\n",
    "x_weekday=pd.get_dummies(x_weekday,prefix='weekday')\n",
    "\n",
    "X['weathersit'].astype('object')\n",
    "x_weathersit=X['weathersit']\n",
    "x_weathersit=pd.get_dummies(x_weathersit,prefix='weathersit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "features=['season','mnth','weekday','weathersit','dteday']\n",
    "X=X.drop(features,axis=1)\n",
    "X['day']=day\n",
    "feat_name=X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "ss_X=StandardScaler()\n",
    "ss_y=StandardScaler()\n",
    "ss_log_y=StandardScaler()\n",
    "\n",
    "X=ss_X.fit_transform(X)   #用训练数据训练\n",
    "y=ss_y.fit_transform(y.values.reshape(-1,1))\n",
    "log_y=ss_log_y.fit_transform(log_y.values.reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "fe_day=pd.DataFrame(data=X,columns=feat_name,index=df.index)\n",
    "fe_data=pd.concat([fe_day,x_season,x_mnth,x_weekday,x_weathersit],axis=1,ignore_index=False)\n",
    "\n",
    "fe_data['cnt']=y\n",
    "fe_data['log_cnt']=log_y\n",
    "fe_data.to_csv('FE_day.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>yr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_2</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>weathersit_1</th>\n",
       "      <th>weathersit_2</th>\n",
       "      <th>weathersit_3</th>\n",
       "      <th>cnt</th>\n",
       "      <th>log_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>-1.729683</td>\n",
       "      <td>-1.001369</td>\n",
       "      <td>-0.171981</td>\n",
       "      <td>-1.471225</td>\n",
       "      <td>-0.826662</td>\n",
       "      <td>-0.679946</td>\n",
       "      <td>1.250171</td>\n",
       "      <td>-0.387892</td>\n",
       "      <td>-0.753734</td>\n",
       "      <td>-1.925471</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.817953</td>\n",
       "      <td>-2.387564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>-1.724944</td>\n",
       "      <td>-1.001369</td>\n",
       "      <td>-0.171981</td>\n",
       "      <td>-1.471225</td>\n",
       "      <td>-0.721095</td>\n",
       "      <td>-0.740652</td>\n",
       "      <td>0.479113</td>\n",
       "      <td>0.749602</td>\n",
       "      <td>-1.045214</td>\n",
       "      <td>-1.915209</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.912999</td>\n",
       "      <td>-2.742332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>-1.720205</td>\n",
       "      <td>-1.001369</td>\n",
       "      <td>-0.171981</td>\n",
       "      <td>0.679706</td>\n",
       "      <td>-1.634657</td>\n",
       "      <td>-1.749767</td>\n",
       "      <td>-1.339274</td>\n",
       "      <td>0.746632</td>\n",
       "      <td>-1.061246</td>\n",
       "      <td>-1.556689</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.629925</td>\n",
       "      <td>-1.847887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>-1.715466</td>\n",
       "      <td>-1.001369</td>\n",
       "      <td>-0.171981</td>\n",
       "      <td>0.679706</td>\n",
       "      <td>-1.614780</td>\n",
       "      <td>-1.610270</td>\n",
       "      <td>-0.263182</td>\n",
       "      <td>-0.389829</td>\n",
       "      <td>-1.078734</td>\n",
       "      <td>-1.412383</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.519898</td>\n",
       "      <td>-1.596254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>-1.710728</td>\n",
       "      <td>-1.001369</td>\n",
       "      <td>-0.171981</td>\n",
       "      <td>0.679706</td>\n",
       "      <td>-1.467414</td>\n",
       "      <td>-1.504971</td>\n",
       "      <td>-1.341494</td>\n",
       "      <td>-0.046307</td>\n",
       "      <td>-1.116627</td>\n",
       "      <td>-1.371336</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.500269</td>\n",
       "      <td>-1.554995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    instant        yr   holiday  workingday      temp     atemp       hum  \\\n",
       "0 -1.729683 -1.001369 -0.171981   -1.471225 -0.826662 -0.679946  1.250171   \n",
       "1 -1.724944 -1.001369 -0.171981   -1.471225 -0.721095 -0.740652  0.479113   \n",
       "2 -1.720205 -1.001369 -0.171981    0.679706 -1.634657 -1.749767 -1.339274   \n",
       "3 -1.715466 -1.001369 -0.171981    0.679706 -1.614780 -1.610270 -0.263182   \n",
       "4 -1.710728 -1.001369 -0.171981    0.679706 -1.467414 -1.504971 -1.341494   \n",
       "\n",
       "   windspeed    casual  registered  ...  weekday_2  weekday_3  weekday_4  \\\n",
       "0  -0.387892 -0.753734   -1.925471  ...          0          0          0   \n",
       "1   0.749602 -1.045214   -1.915209  ...          0          0          0   \n",
       "2   0.746632 -1.061246   -1.556689  ...          0          0          0   \n",
       "3  -0.389829 -1.078734   -1.412383  ...          1          0          0   \n",
       "4  -0.046307 -1.116627   -1.371336  ...          0          1          0   \n",
       "\n",
       "   weekday_5  weekday_6  weathersit_1  weathersit_2  weathersit_3       cnt  \\\n",
       "0          0          1             0             1             0 -1.817953   \n",
       "1          0          0             0             1             0 -1.912999   \n",
       "2          0          0             1             0             0 -1.629925   \n",
       "3          0          0             1             0             0 -1.519898   \n",
       "4          0          0             1             0             0 -1.500269   \n",
       "\n",
       "    log_cnt  \n",
       "0 -2.387564  \n",
       "1 -2.742332  \n",
       "2 -1.847887  \n",
       "3 -1.596254  \n",
       "4 -1.554995  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fe_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 39 columns):\n",
      "instant         731 non-null float64\n",
      "yr              731 non-null float64\n",
      "holiday         731 non-null float64\n",
      "workingday      731 non-null float64\n",
      "temp            731 non-null float64\n",
      "atemp           731 non-null float64\n",
      "hum             731 non-null float64\n",
      "windspeed       731 non-null float64\n",
      "casual          731 non-null float64\n",
      "registered      731 non-null float64\n",
      "day             731 non-null float64\n",
      "season_1        731 non-null uint8\n",
      "season_2        731 non-null uint8\n",
      "season_3        731 non-null uint8\n",
      "season_4        731 non-null uint8\n",
      "mnth_1          731 non-null uint8\n",
      "mnth_2          731 non-null uint8\n",
      "mnth_3          731 non-null uint8\n",
      "mnth_4          731 non-null uint8\n",
      "mnth_5          731 non-null uint8\n",
      "mnth_6          731 non-null uint8\n",
      "mnth_7          731 non-null uint8\n",
      "mnth_8          731 non-null uint8\n",
      "mnth_9          731 non-null uint8\n",
      "mnth_10         731 non-null uint8\n",
      "mnth_11         731 non-null uint8\n",
      "mnth_12         731 non-null uint8\n",
      "weekday_0       731 non-null uint8\n",
      "weekday_1       731 non-null uint8\n",
      "weekday_2       731 non-null uint8\n",
      "weekday_3       731 non-null uint8\n",
      "weekday_4       731 non-null uint8\n",
      "weekday_5       731 non-null uint8\n",
      "weekday_6       731 non-null uint8\n",
      "weathersit_1    731 non-null uint8\n",
      "weathersit_2    731 non-null uint8\n",
      "weathersit_3    731 non-null uint8\n",
      "cnt             731 non-null float64\n",
      "log_cnt         731 non-null float64\n",
      "dtypes: float64(13), uint8(26)\n",
      "memory usage: 92.9 KB\n"
     ]
    }
   ],
   "source": [
    "fe_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 训练分类器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression,Lasso,Ridge\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 39 columns):\n",
      "instant         731 non-null float64\n",
      "yr              731 non-null float64\n",
      "holiday         731 non-null float64\n",
      "workingday      731 non-null float64\n",
      "temp            731 non-null float64\n",
      "atemp           731 non-null float64\n",
      "hum             731 non-null float64\n",
      "windspeed       731 non-null float64\n",
      "casual          731 non-null float64\n",
      "registered      731 non-null float64\n",
      "day             731 non-null float64\n",
      "season_1        731 non-null int64\n",
      "season_2        731 non-null int64\n",
      "season_3        731 non-null int64\n",
      "season_4        731 non-null int64\n",
      "mnth_1          731 non-null int64\n",
      "mnth_2          731 non-null int64\n",
      "mnth_3          731 non-null int64\n",
      "mnth_4          731 non-null int64\n",
      "mnth_5          731 non-null int64\n",
      "mnth_6          731 non-null int64\n",
      "mnth_7          731 non-null int64\n",
      "mnth_8          731 non-null int64\n",
      "mnth_9          731 non-null int64\n",
      "mnth_10         731 non-null int64\n",
      "mnth_11         731 non-null int64\n",
      "mnth_12         731 non-null int64\n",
      "weekday_0       731 non-null int64\n",
      "weekday_1       731 non-null int64\n",
      "weekday_2       731 non-null int64\n",
      "weekday_3       731 non-null int64\n",
      "weekday_4       731 non-null int64\n",
      "weekday_5       731 non-null int64\n",
      "weekday_6       731 non-null int64\n",
      "weathersit_1    731 non-null int64\n",
      "weathersit_2    731 non-null int64\n",
      "weathersit_3    731 non-null int64\n",
      "cnt             731 non-null float64\n",
      "log_cnt         731 non-null float64\n",
      "dtypes: float64(13), int64(26)\n",
      "memory usage: 222.9 KB\n"
     ]
    }
   ],
   "source": [
    "df=pd.read_csv('FE_day.csv')\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "features=['instant','casual','registered']\n",
    "df=df.drop(features,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df.drop('cnt',axis=1)\n",
    "y=df['cnt']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "训练数据和测试数据分离"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,Y_train,Y_test=train_test_split(X,y,test_size=0.2,random_state=42,shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(584, 35)"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(147, 35)"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实例化回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr=LinearRegression()\n",
    "rr=Ridge()   #默认alpha=1\n",
    "lsr=Lasso()   #默认alpha=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "回归模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000,\n",
       "      normalize=False, positive=False, precompute=False, random_state=None,\n",
       "      selection='cyclic', tol=0.0001, warm_start=False)"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.fit(X_train,Y_train)\n",
    "rr.fit(X_train,Y_train)\n",
    "lsr.fit(X_train,Y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "回归模型预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_lr=lr.predict(X_test)\n",
    "y_pred_rr=rr.predict(X_test)\n",
    "y_pred_lsr=lsr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最小二乘线性回归对应的RMSE为0.163\n",
      "岭回归对应的RMSE为0.161\n",
      "LASSO对应的RMSE为1.091\n"
     ]
    }
   ],
   "source": [
    "RMSE_lr=mean_squared_error(Y_test,y_pred_lr)\n",
    "RMSE_rr=mean_squared_error(Y_test,y_pred_rr)\n",
    "RMSE_lsr=mean_squared_error(Y_test,y_pred_lsr)\n",
    "print('最小二乘线性回归对应的RMSE为{:.3f}\\n岭回归对应的RMSE为{:.3f}\\nLASSO对应的RMSE为{:.3f}'.format(RMSE_lr,RMSE_rr,RMSE_lsr))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可见，岭回归对应的RMSE值最小，预测结果最为准确；最小二乘和岭回归对应的RMSE值相近，准确度略低于岭回归；Lasso的预测结果精确度最低。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最小二乘线性回归的系数为：[ 0.21795103  0.00077371 -0.00743694  0.08208826 -0.02349015 -0.03452676\n",
      " -0.04048164  0.00693351 -0.0268441   0.0388829  -0.05692791  0.04488911\n",
      " -0.12396709 -0.26527594 -0.04008207 -0.04877096  0.06325816  0.12185868\n",
      "  0.06560776  0.15260577  0.26600415  0.1342837  -0.16419206 -0.16133008\n",
      " -0.06557066 -0.04751357 -0.01615435  0.03256018  0.02893181 -0.00115238\n",
      "  0.06889896  0.04709951 -0.0671103   0.02001079  0.73376143]\n",
      "截距为：-0.015150243482004794\n",
      "岭回归的系数为：[ 2.19688922e-01 -4.85110328e-05 -7.47557489e-03  8.96591469e-02\n",
      " -1.67187621e-02 -3.59002220e-02 -4.10072066e-02  6.57062710e-03\n",
      " -4.76834215e-02  4.40071299e-02 -3.87038637e-02  4.23801553e-02\n",
      " -9.05817683e-02 -2.30354429e-01 -2.27788081e-02 -5.09801818e-02\n",
      "  5.29529169e-02  9.94089245e-02  2.95065304e-02  1.18951286e-01\n",
      "  2.43030052e-01  1.37867595e-01 -1.48290135e-01 -1.38731982e-01\n",
      " -6.49791179e-02 -4.65198188e-02 -1.68491043e-02  3.22177151e-02\n",
      "  2.75694395e-02  9.81579202e-05  6.84627286e-02  4.92391342e-02\n",
      " -6.44848696e-02  1.52457354e-02  7.26871086e-01]\n",
      "截距为：-0.017377331144527716\n",
      "Lasso的系数为：[ 0. -0.  0.  0.  0. -0. -0. -0. -0.  0.  0.  0. -0. -0. -0. -0.  0.  0.\n",
      "  0.  0.  0.  0. -0. -0. -0. -0. -0. -0.  0.  0.  0.  0. -0. -0.  0.]\n",
      "截距为：0.029252189333695656\n"
     ]
    }
   ],
   "source": [
    "print('最小二乘线性回归的系数为：{}\\n截距为：{}'.format(lr.coef_,lr.intercept_))\n",
    "print('岭回归的系数为：{}\\n截距为：{}'.format(rr.coef_,rr.intercept_))\n",
    "print('Lasso的系数为：{}\\n截距为：{}'.format(lsr.coef_,lsr.intercept_))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " 可见，当alpha设为1时，由于正则项，系数大小对损失函数的结果影响很大，导致lasso的所有系数均为0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "修改alpha值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\lenovo\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\ipykernel_launcher.py:9: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator\n",
      "  if __name__ == '__main__':\n",
      "c:\\users\\lenovo\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\sklearn\\linear_model\\coordinate_descent.py:475: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged.\n",
      "  positive)\n",
      "c:\\users\\lenovo\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\sklearn\\linear_model\\coordinate_descent.py:475: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18.580973650998864, tolerance: 0.05712292159782733\n",
      "  positive)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alpha=0.01,岭回归系数为[ 0.21796927  0.0007638  -0.00743822  0.08220871 -0.02343494 -0.03454365\n",
      " -0.04048822  0.00692919 -0.02710917  0.03895754 -0.05669411  0.04484573\n",
      " -0.12353514 -0.2648343  -0.03986166 -0.04881177  0.0631174   0.12156707\n",
      "  0.06514538  0.15217549  0.26571905  0.13434475 -0.1639876  -0.16103867\n",
      " -0.06556381 -0.04750148 -0.01616359  0.03255695  0.02891532 -0.00113775\n",
      "  0.06889436  0.04712263 -0.06707983  0.0199572   0.73368569]，截距为-0.015175649161283142\n",
      "\n",
      "\n",
      "alpha=0.01,Lasso回归系数为[ 0.17931302 -0.         -0.          0.10852407  0.         -0.01364788\n",
      " -0.02201655  0.         -0.0197398   0.          0.          0.\n",
      "  0.         -0.04467574  0.         -0.          0.          0.\n",
      " -0.          0.          0.03931017  0.04167531 -0.         -0.\n",
      " -0.         -0.         -0.          0.          0.         -0.\n",
      "  0.02226399  0.         -0.06385663  0.          0.79216423]，截距为0.013864255981018616\n",
      "\n",
      "\n",
      "alpha=0.05,岭回归系数为[ 2.18042031e-01  7.24612872e-04 -7.44311571e-03  8.26778924e-02\n",
      " -2.32097922e-02 -3.46104091e-02 -4.05141474e-02  6.91210264e-03\n",
      " -2.81550107e-02  3.92497820e-02 -5.57720273e-02  4.46772560e-02\n",
      " -1.21832566e-01 -2.63091426e-01 -3.89920520e-02 -4.89699070e-02\n",
      "  6.25644530e-02  1.20418202e-01  6.33219060e-02  1.50478482e-01\n",
      "  2.64592762e-01  1.34582087e-01 -1.63181805e-01 -1.59890136e-01\n",
      " -6.55366641e-02 -4.74537150e-02 -1.61999735e-02  3.25439842e-02\n",
      "  2.88500717e-02 -1.07974443e-03  6.88760411e-02  4.72147269e-02\n",
      " -6.69590382e-02  1.97443113e-02  7.33384433e-01]，截距为-0.01527649802883754\n",
      "\n",
      "\n",
      "alpha=0.05,Lasso回归系数为[ 0.12630728 -0.         -0.          0.06461246  0.         -0.\n",
      " -0.          0.         -0.          0.          0.          0.\n",
      " -0.         -0.         -0.         -0.          0.          0.\n",
      " -0.          0.          0.          0.         -0.         -0.\n",
      " -0.         -0.         -0.          0.          0.         -0.\n",
      "  0.          0.         -0.          0.          0.82537605]，截距为-0.004315211450336785\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "RMSE_rr1=[]\n",
    "RMSE_lsr1=[]\n",
    "for i in range(100):\n",
    "    i/=100\n",
    "    rr_1=Ridge(alpha=i)\n",
    "    lsr_1=Lasso(alpha=i)\n",
    "\n",
    "    rr_1.fit(X_train,Y_train)\n",
    "    lsr_1.fit(X_train,Y_train)\n",
    "\n",
    "    y_pred_rr1=rr_1.predict(X_test)\n",
    "    y_pred_lsr1=lsr_1.predict(X_test)\n",
    "\n",
    "    RMSE_rr1.append([i,mean_squared_error(Y_test,y_pred_rr1)])\n",
    "    RMSE_lsr1.append([i,mean_squared_error(Y_test,y_pred_lsr1)])\n",
    "    if i==0.05 or i==0.01:\n",
    "        print('alpha={},岭回归系数为{}，截距为{}\\n\\n'.format(i,rr_1.coef_,rr_1.intercept_))\n",
    "        print('alpha={},Lasso回归系数为{}，截距为{}\\n\\n'.format(i,lsr_1.coef_,lsr_1.intercept_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " [0.07, 0.16320763168497388],\n",
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       " [0.14, 0.16299829524324502],\n",
       " [0.15, 0.16296868886884666],\n",
       " [0.16, 0.16293915532427472],\n",
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       " [0.18, 0.16288030430842299],\n",
       " [0.19, 0.16285098564825098],\n",
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       " [0.35, 0.16239109351022418],\n",
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       " [0.39, 0.16227868255742117],\n",
       " [0.4, 0.1622507314368191],\n",
       " [0.41, 0.1622228400534398],\n",
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       " [0.43, 0.16216723472125527],\n",
       " [0.44, 0.16213951989682537],\n",
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       " [0.52, 0.161919853680033],\n",
       " [0.53, 0.16189264582225457],\n",
       " [0.54, 0.16186549229363534],\n",
       " [0.55, 0.16183839271051387],\n",
       " [0.56, 0.1618113466935235],\n",
       " [0.57, 0.16178435386752257],\n",
       " [0.58, 0.16175741386153336],\n",
       " [0.59, 0.16173052630868473],\n",
       " [0.6, 0.16170369084615296],\n",
       " [0.61, 0.16167690711510296],\n",
       " [0.62, 0.16165017476063154],\n",
       " [0.63, 0.16162349343171367],\n",
       " [0.64, 0.16159686278114607],\n",
       " [0.65, 0.16157028246549157],\n",
       " [0.66, 0.16154375214503014],\n",
       " [0.67, 0.16151727148370562],\n",
       " [0.68, 0.16149084014906942],\n",
       " [0.69, 0.1614644578122396],\n",
       " [0.7, 0.16143812414784306],\n",
       " [0.71, 0.16141183883397522],\n",
       " [0.72, 0.16138560155214038],\n",
       " [0.73, 0.1613594119872153],\n",
       " [0.74, 0.16133326982740012],\n",
       " [0.75, 0.16130717476417097],\n",
       " [0.76, 0.1612811264922353],\n",
       " [0.77, 0.16125512470949327],\n",
       " [0.78, 0.16122916911698423],\n",
       " [0.79, 0.16120325941885566],\n",
       " [0.8, 0.16117739532231373],\n",
       " [0.81, 0.16115157653758436],\n",
       " [0.82, 0.16112580277787222],\n",
       " [0.83, 0.1611000737593258],\n",
       " [0.84, 0.1610743892009896],\n",
       " [0.85, 0.1610487488247693],\n",
       " [0.86, 0.16102315235540024],\n",
       " [0.87, 0.1609975995203975],\n",
       " [0.88, 0.1609720900500315],\n",
       " [0.89, 0.16094662367728618],\n",
       " [0.9, 0.16092120013781983],\n",
       " [0.91, 0.1608958191699386],\n",
       " [0.92, 0.1608704805145555],\n",
       " [0.93, 0.1608451839151591],\n",
       " [0.94, 0.16081992911778023],\n",
       " [0.95, 0.16079471587095973],\n",
       " [0.96, 0.16076954392571136],\n",
       " [0.97, 0.16074441303549916],\n",
       " [0.98, 0.16071932295619654],\n",
       " [0.99, 0.16069427344606202]]"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RMSE_rr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "plot1=plt.plot([x[0] for x in RMSE_rr1],[x[1] for x in RMSE_rr1],'r')\n",
    "plot2=plt.plot([x[0] for x in RMSE_lsr1],[x[1] for x in RMSE_lsr1],'b')\n",
    "plt.xlabel('alpha')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "alpha取不同值时，岭回归和Lasso对应的RMSE分别如上图红色的线和蓝色的线所示。\n",
    "随着alpha的减小，岭回归对应的RMSE基本保持不变，而Lasso对应的RMSE先基本不变，而后快速下降，从alpha=0.2处开始下降速度有所降低，直至alpha=0时，与岭回归对应的RMSE保持一致，RMSE值在0.15左右。  \n",
    "Lasso的RMSE值快速下降是因为在alpha减小的过程中，L1正则项的约束变小，所以等于0的系数的数量也不断减小，Lasso的结果更准确。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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